{"id":"W6948481550","doi":"10.5066/p9ofqrkv","title":"Morpholine Imprinted Atlantic Salmon Behavioral and Morphometric Data, 2018-2022","year":2023,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flume; Life history; Fish <Actinopterygii>; Morpholine; Aquatic animal; Imprinting (psychology)","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":[0.0008218509,0.001367247,0.0008514447,0.002828323,0.0006361409,0.00105681,0.001611612,0.001077588,0.04672766],"category_scores_gemma":[0.004014818,0.0005660868,0.0009241535,0.005037213,0.000241942,0.0006131384,0.001390155,0.0008384191,0.04657014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019432,"about_ca_system_score_gemma":0.002125098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0656426,"about_ca_topic_score_gemma":0.1192523,"domain_scores_codex":[0.9993321,0.0000647913,0.0001112471,0.0002143715,0.000155564,0.0001217768],"domain_scores_gemma":[0.9980254,0.0003814982,0.0003161902,0.0003756593,0.0007560036,0.0001453171],"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":[0.0001414597,0.00003619498,0.01266037,0.001292369,0.0001003007,0.00005027663,0.00005980932,0.000393957,0.0003859958,0.0003287104,0.9786487,0.005901719],"study_design_scores_gemma":[0.0003274542,0.00004399226,0.07146937,0.0005643148,0.00009801823,0.00007955537,0.0001985665,0.0004703166,0.0007141595,0.0005895987,0.9253916,0.00005298216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002582055,0.00001783709,0.00002434291,0.00001322424,0.000005600328,0.000005219169,0.9994398,0.00006109731,0.0001747219],"genre_scores_gemma":[0.0006691241,0.00002147142,0.0001684273,0.00001580826,0.000002796359,0.00007568002,0.9985374,0.00002412074,0.0004850915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0656426,"threshold_uncertainty_score":0.1563196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04624696757112427,"score_gpt":0.2823316599630285,"score_spread":0.2360846923919042,"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."}}