{"id":"W7164488863","doi":"10.14286/wwns4q","title":"UCSCNOAAOT22","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Chinook wind; Pacific ocean; Oncorhynchus; Scope (computer science); Aquatic animal; Telemetry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001113962,0.002148305,0.001642589,0.003463703,0.001453079,0.003477819,0.003359266,0.002350473,0.06731332],"category_scores_gemma":[0.006420563,0.0007314688,0.00127276,0.007746636,0.0005245016,0.001645302,0.002542454,0.00162666,0.1368629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065881,"about_ca_system_score_gemma":0.003795085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08750191,"about_ca_topic_score_gemma":0.1463694,"domain_scores_codex":[0.998454,0.0002490709,0.0001678256,0.0005565244,0.0003482659,0.0002242854],"domain_scores_gemma":[0.9977058,0.0003931019,0.0002171368,0.0005426431,0.0008788526,0.0002625067],"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":[0.00003337807,0.0000109013,0.0004757916,0.0004114463,0.00001801565,0.00001387966,0.00002646264,0.000136418,0.00006048642,0.0003462586,0.9972755,0.001191431],"study_design_scores_gemma":[0.0001217447,0.00000988842,0.002830135,0.0002287087,0.00001818114,0.00002946711,0.00006959805,0.0002997127,0.0001788656,0.0005956629,0.9955952,0.00002294732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006835709,0.0000415304,0.00003800892,0.00003088603,0.00001562256,0.000006748708,0.9988857,0.0003179948,0.0005952797],"genre_scores_gemma":[0.0001382947,0.00002233938,0.0001584289,0.00002178425,0.000003071025,0.00002939692,0.9992348,0.00006369039,0.0003281636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9326867,"threshold_uncertainty_score":0.2251855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06766236570000239,"score_gpt":0.3643990690938765,"score_spread":0.2967367033938741,"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."}}