{"id":"W2155878556","doi":"10.3354/meps310271","title":"Techniques for cetaceanhabitat modeling","year":2006,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":429,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Strategic Environmental Research and Development Program; U.S. Navy","keywords":"Geography; Library science; Fishery; Fish <Actinopterygii>; Oceanography; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001952929,0.0001828625,0.0002445263,0.00002456056,0.0002487758,0.00002960127,0.0002292218,0.00008390596,0.00110553],"category_scores_gemma":[0.00003118171,0.0001672365,0.00007338868,0.000116552,0.0002970008,0.0002289786,0.001056676,0.00008125221,0.0000771051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032487,"about_ca_system_score_gemma":0.000006012103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005374046,"about_ca_topic_score_gemma":0.006933554,"domain_scores_codex":[0.9988446,0.00002754832,0.0002510482,0.0003492666,0.0001113632,0.0004161729],"domain_scores_gemma":[0.9996413,0.00003478852,0.00007535493,0.0001920132,0.00002111945,0.00003545342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007438517,0.0001098903,0.9650411,0.00004619372,0.00001621363,0.000008366215,0.00001860312,0.0001368069,0.00002497233,0.002041055,0.007922366,0.02456006],"study_design_scores_gemma":[0.0005829785,0.001067839,0.5518448,0.00001025798,0.00006755364,0.00006221329,0.00006186414,0.005373176,0.001343905,0.0355614,0.4033322,0.0006918129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327497,0.0002454033,0.0001809037,0.003468246,0.0002257457,0.001670131,0.00001059665,0.0005707793,0.06087843],"genre_scores_gemma":[0.9411509,0.00005906014,0.05231453,0.0002634648,0.000161528,0.0009444645,0.00003375186,0.00003612813,0.005036158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131963,"threshold_uncertainty_score":0.9998076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081990769861997,"score_gpt":0.2376469641433886,"score_spread":0.2268270564447687,"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."}}