{"id":"W2909376856","doi":"","title":"Capture and resight data of California sea lions in Washington State, 1989-02-15 to 2006-06-01 (NCEI Accession 0146259)","year":2016,"lang":"en","type":"dataset","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zalophus californianus; Accession; Sea lion; Fishery; Geography; Mark and recapture; Cartography; Biology; Demography; European union","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":[0.0007511048,0.001258634,0.0008748507,0.003172729,0.0006737345,0.001179715,0.001634085,0.001010632,0.02792765],"category_scores_gemma":[0.003265195,0.0007360346,0.0006195289,0.006007025,0.0002380607,0.0007194161,0.0009229049,0.001056976,0.02602178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777259,"about_ca_system_score_gemma":0.004194418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.206973,"about_ca_topic_score_gemma":0.3161452,"domain_scores_codex":[0.9994206,0.00003520529,0.00007500062,0.000175679,0.0001893657,0.0001041685],"domain_scores_gemma":[0.997745,0.0002876659,0.0004372908,0.0003445093,0.0009467973,0.0002386935],"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":[0.0000839358,0.00004517515,0.01020305,0.0002938865,0.00005249007,0.00003006517,0.00003630375,0.0005000076,0.0001025093,0.000213333,0.9848567,0.003582719],"study_design_scores_gemma":[0.0002509624,0.0000347747,0.09978913,0.0004691914,0.00007557213,0.00006715932,0.000236509,0.0009498574,0.0004964333,0.0003876608,0.8971857,0.00005703521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004450881,0.00001787673,0.00002152674,0.00001731988,0.000009064534,0.000007579974,0.9990508,0.00004511395,0.0003855737],"genre_scores_gemma":[0.0006475676,0.00002509807,0.000100705,0.00001427996,0.000002838192,0.0000502916,0.9983223,0.00001246756,0.0008244857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.206973,"threshold_uncertainty_score":0.4115365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972233456637484,"score_gpt":0.2867403796651566,"score_spread":0.2570180450987817,"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."}}