{"id":"W7095930550","doi":"","title":"APPENDIX III. Marine mammal stock assessment reports not updated in the year 2002. BLUE WHALE (Balaenoptera musculus): Western North Atlantic Stock","year":2002,"lang":"en","type":"article","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whale; Whaling; Shore; Estuary; Arctic; Aerial survey; Range (aeronautics); Cetacea","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993258,0.0007653795,0.0006507538,0.00487641,0.0004090708,0.0006223871,0.001392601,0.000473292,0.2256961],"category_scores_gemma":[0.007385624,0.0003887309,0.0003888271,0.008345674,0.00009154139,0.0008356181,0.0006074394,0.0006796563,0.07228222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009550237,"about_ca_system_score_gemma":0.001523046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04902187,"about_ca_topic_score_gemma":0.04542019,"domain_scores_codex":[0.9991987,0.00007442442,0.0002727743,0.0001253964,0.0002613656,0.00006734371],"domain_scores_gemma":[0.9911373,0.001052517,0.001058047,0.0002884367,0.00620792,0.0002559041],"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":[0.00008567689,0.00004451349,0.007075679,0.0009918114,0.00002321029,0.00004606762,0.0000285305,0.0001852531,0.000089396,0.0002537429,0.9668301,0.02434603],"study_design_scores_gemma":[0.0002230919,0.0000849427,0.1574344,0.001199173,0.00005396785,0.0002877595,0.0002516798,0.0004020683,0.000219992,0.0006374514,0.8391701,0.00003539217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006125884,0.0002733703,0.0002128995,0.000117007,0.0002512254,0.0002844686,0.9877437,0.0001116777,0.01039309],"genre_scores_gemma":[0.006888098,0.001011203,0.001755982,0.0003856338,0.0001382945,0.001366388,0.9679828,0.00009129824,0.02038021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2256961,"threshold_uncertainty_score":0.7550286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954578779243655,"score_gpt":0.2409493090214176,"score_spread":0.221403521228981,"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."}}