{"id":"W6929688410","doi":"10.5065/d6c53hxh","title":"SWL15 Marine Mammal Watch. Version 1.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Marine mammal; Arctic; Canyon; Sea ice; The arctic; Rookery; Beaufort 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":[0.0007032057,0.001680383,0.001231219,0.003502728,0.000442632,0.001367284,0.002187287,0.001014259,0.03612471],"category_scores_gemma":[0.002850429,0.0006391905,0.0008806558,0.006180445,0.0002660494,0.001029466,0.00151277,0.001162687,0.04304514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007438216,"about_ca_system_score_gemma":0.001309633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966474,"about_ca_topic_score_gemma":0.04314922,"domain_scores_codex":[0.9994453,0.00008014684,0.0001080165,0.0001896812,0.00009375979,0.00008306451],"domain_scores_gemma":[0.9990767,0.0002008913,0.0002201225,0.0001699658,0.0002158526,0.0001165497],"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":[0.0001117616,0.00002602045,0.008303421,0.001301775,0.0001082781,0.00008057818,0.00006612523,0.0005386133,0.0002411728,0.0005530196,0.9843795,0.004289801],"study_design_scores_gemma":[0.0003269004,0.00002995631,0.02734108,0.0004257411,0.00008330249,0.0001592488,0.0001635789,0.0007422532,0.0005130141,0.001312496,0.9688553,0.0000472558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000221009,0.0000389299,0.00005365762,0.00001573642,0.000005624115,0.000006132011,0.999301,0.0001427524,0.0002152305],"genre_scores_gemma":[0.0004904249,0.00003720916,0.0001826409,0.00001990244,0.00000308165,0.00004917045,0.9988953,0.00003545177,0.0002868001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03612471,"threshold_uncertainty_score":0.1208492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008969592461622669,"score_gpt":0.232200179799992,"score_spread":0.2232305873383693,"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."}}