{"id":"W4284673623","doi":"10.1038/s41597-022-01503-2","title":"Fisheries dataset on moulting patterns and shell quality of American lobsters H. americanus in Atlantic Canada","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Council on Animal Care; University of Prince Edward Island","funders":"Fisheries and Oceans Canada; Atlantic Canada Opportunities Agency; Government of Canada","keywords":"American lobster; Homarus; Fishery; Biology; Moulting; Carapace; Fishing; Crustacean; Ecology; Decapoda; Geography; Larva","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003952105,0.0006721545,0.0005731458,0.0035687,0.00113418,0.0008327942,0.001268368,0.0005112382,0.006028746],"category_scores_gemma":[0.001600045,0.0002908544,0.000388302,0.006546251,0.0002393822,0.0002757188,0.0007882415,0.0004195069,0.003148886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00515484,"about_ca_system_score_gemma":0.00730702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9453613,"about_ca_topic_score_gemma":0.9754915,"domain_scores_codex":[0.9995694,0.00001335387,0.00004868631,0.0001033275,0.0001565946,0.0001086538],"domain_scores_gemma":[0.9971479,0.0001280599,0.0003519055,0.0001617464,0.001895733,0.0003147817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002728147,0.0001135918,0.5367883,0.0005976154,0.0003105215,0.0003625116,0.0003564101,0.00130893,0.001481865,0.0004660467,0.4324586,0.0254827],"study_design_scores_gemma":[0.00005015636,0.00001675017,0.8979487,0.0002457414,0.00005799919,0.0001440387,0.0004156206,0.001278328,0.0004374539,0.0001391684,0.09921944,0.00004658113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0337435,0.0002973692,0.0001225535,0.00007250799,0.00001249696,0.00003991994,0.963816,0.0001152779,0.001780383],"genre_scores_gemma":[0.03775028,0.0002054081,0.0005439133,0.00006619651,0.000006985729,0.00008737597,0.9597593,0.00001784956,0.001562637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05463868,"threshold_uncertainty_score":0.1099209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093232918795222,"score_gpt":0.2710283560594465,"score_spread":0.2300960268714942,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}