{"id":"W7163400334","doi":"10.14286/lehl3x","title":"SERC Blacktip Shark Study","year":2016,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Habitat; Telemetry; Fisheries Research; Invasive species; Aquatic animal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006999496,0.0004968058,0.00051393,0.001670751,0.0005871567,0.0009046256,0.00126009,0.0006465181,0.01937308],"category_scores_gemma":[0.002496191,0.0002690614,0.0004850758,0.002247619,0.000234608,0.0005559779,0.001544684,0.0007120767,0.01652255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009462202,"about_ca_system_score_gemma":0.001984973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08833189,"about_ca_topic_score_gemma":0.188396,"domain_scores_codex":[0.9996506,0.00003822847,0.00004466877,0.00009415435,0.0001025053,0.00006981679],"domain_scores_gemma":[0.9989271,0.0001241474,0.0001838747,0.0002294198,0.0003579301,0.0001775631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001545476,0.00003748593,0.01205521,0.0004635521,0.00005129782,0.00008306391,0.0001121119,0.0002050004,0.0002413508,0.0005418047,0.9812483,0.004806404],"study_design_scores_gemma":[0.0003127676,0.0000424133,0.08803548,0.000420549,0.00007316713,0.0001300018,0.0005188629,0.0005963609,0.0004639669,0.0006796977,0.9086688,0.00005790398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002013336,0.0000434112,0.00007345701,0.00008062043,0.00002718612,0.00003320006,0.9963722,0.0001282406,0.001228451],"genre_scores_gemma":[0.002475444,0.0000433911,0.0002574526,0.00005731138,0.00001223805,0.0001426042,0.9958301,0.00004747068,0.001133942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08833189,"threshold_uncertainty_score":0.1756355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08008120636932373,"score_gpt":0.382618110202943,"score_spread":0.3025369038336193,"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."}}