{"id":"W6929762863","doi":"10.5065/d6qj7fcx","title":"SWL13 Marine Mammal Watch. Version 1.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Marine mammal; Visibility; Sea ice; Trophic level; Sea lion; North sea","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":[0.0005227144,0.002117622,0.001245928,0.003021365,0.0004503722,0.001378756,0.002289936,0.00134141,0.03259595],"category_scores_gemma":[0.002519875,0.0005592134,0.001081254,0.005589276,0.0002876562,0.001007818,0.001785847,0.001182476,0.06209448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007463191,"about_ca_system_score_gemma":0.001371571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03308915,"about_ca_topic_score_gemma":0.06526276,"domain_scores_codex":[0.9994363,0.00006654253,0.00007817062,0.0001700325,0.0001393784,0.0001095841],"domain_scores_gemma":[0.9991639,0.0001507224,0.0001373278,0.000173445,0.0002455383,0.0001291434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004587739,0.00001678422,0.002226604,0.0004262028,0.00004037815,0.00002866406,0.0000237713,0.0003140977,0.0001485591,0.000191482,0.9942584,0.002279113],"study_design_scores_gemma":[0.0002272379,0.00003722034,0.02092518,0.0003090406,0.0000600375,0.0001276246,0.000118863,0.001109895,0.0005471369,0.0009069177,0.9755782,0.00005266097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002214359,0.00004586597,0.00004567992,0.00002324694,0.00001498859,0.000005316586,0.9990345,0.0002930266,0.0003158966],"genre_scores_gemma":[0.0002987786,0.00002285738,0.00009235308,0.00001612311,0.000003931946,0.00001898662,0.9992743,0.00003400339,0.0002386978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03308915,"threshold_uncertainty_score":0.1090444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179716969335276,"score_gpt":0.2470876612857901,"score_spread":0.2252904915924373,"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."}}