{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001804817,0.001109048,0.001083404,0.0003811272,0.0002762264,0.0002665531,0.0019572,0.00110424,0.007520091],"category_scores_gemma":[0.000914639,0.001172343,0.0001918382,0.001607871,0.0001977407,0.0006273888,0.00232743,0.00187324,0.1093629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469061,"about_ca_system_score_gemma":0.001718385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186164,"about_ca_topic_score_gemma":0.002790645,"domain_scores_codex":[0.9941276,0.0006432956,0.0007987543,0.001318616,0.001892749,0.001219023],"domain_scores_gemma":[0.993692,0.000139238,0.0007044724,0.003291461,0.001362334,0.0008105256],"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":[0.0001471576,0.0001502083,0.0007589388,0.0003332749,0.0001327923,0.0004990587,0.00002848992,0.00003197173,0.000343777,0.000003270718,0.9974696,0.0001014766],"study_design_scores_gemma":[0.001223064,0.0001406965,0.002613293,0.0002525755,0.0002324204,0.00000970537,0.00004555612,0.0000170106,0.0001982248,0.00002423021,0.9940137,0.001229541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00658811,0.000814698,2.961754e-7,0.0001345759,0.002903626,0.000505126,0.987911,0.0006689948,0.0004735791],"genre_scores_gemma":[0.0000336251,0.0001365422,0.0005865297,0.0005948488,0.001667207,0.00003972462,0.9949381,0.0003476051,0.001655764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1018428,"threshold_uncertainty_score":0.9990727,"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."}}