{"id":"W7098113555","doi":"","title":"APPENDIX IV: Marine Mammal stock assessment reports not updated in 2005. 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":[0.001005871,0.0008900461,0.0008091021,0.005936163,0.0004417645,0.0007710375,0.002097969,0.0006515331,0.1748597],"category_scores_gemma":[0.009854322,0.0005195864,0.0005467672,0.009550415,0.0001160702,0.001252549,0.0008485601,0.000816942,0.06203527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453039,"about_ca_system_score_gemma":0.002201829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07377414,"about_ca_topic_score_gemma":0.06052211,"domain_scores_codex":[0.9986778,0.000108827,0.000459723,0.0001906752,0.0004528133,0.0001100802],"domain_scores_gemma":[0.9886749,0.001110114,0.001543001,0.0004157144,0.007919477,0.0003367876],"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":[0.00007816558,0.00004728492,0.007121794,0.001070407,0.00003236024,0.0000380341,0.00002745258,0.0002070357,0.00006890778,0.0002857009,0.9687927,0.02223014],"study_design_scores_gemma":[0.0002262546,0.000082811,0.1601072,0.001741744,0.00006389393,0.0002446391,0.0002262439,0.0004014334,0.0002112667,0.0006062544,0.8360438,0.00004438746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004781001,0.0002824751,0.0001776316,0.0001100155,0.0002280448,0.0002604641,0.9892064,0.0001020669,0.009154798],"genre_scores_gemma":[0.006020041,0.001028413,0.001617824,0.0004200223,0.0001278253,0.001485463,0.9712126,0.00007099487,0.01801679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1748597,"threshold_uncertainty_score":0.584964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888886900975674,"score_gpt":0.2422469045012084,"score_spread":0.2233580354914517,"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."}}