{"id":"W7133270256","doi":"","title":"An Assessment of Newfoundland and Labrador Snow Crab (Chionoecetes opilio) in 2019","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logbook; Data collection; Survey methodology; Sampling (signal processing); Fishing; Survey data collection; Snow","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":[0.0005334533,0.0002991759,0.0001462111,0.001814341,0.001138137,0.0007429304,0.0006002932,0.0002930877,0.003373453],"category_scores_gemma":[0.0008644278,0.0001891171,0.0002445744,0.001375583,0.0003965837,0.0003841597,0.0006179361,0.0003255233,0.0008875676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008048504,"about_ca_system_score_gemma":0.002739858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.811323,"about_ca_topic_score_gemma":0.9691997,"domain_scores_codex":[0.9995449,0.00002493879,0.00002666224,0.00006399362,0.0001373317,0.0002020613],"domain_scores_gemma":[0.9989377,0.00004158278,0.0003021133,0.0000317808,0.0004322542,0.0002545962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004357335,0.00002063202,0.9874381,0.00004596938,0.00003484768,0.0002539844,0.0007458903,0.0001290847,0.0006989391,0.0000691492,0.002771863,0.007747803],"study_design_scores_gemma":[4.027308e-7,0.00001394012,0.997479,0.00001184422,0.000004473178,0.00004778029,0.000929116,0.00005522472,0.00005238389,0.000004827374,0.001398981,0.000001911879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834525,0.0009456835,0.000142025,0.0003647159,0.00002407729,0.00002805802,0.005748606,0.00001690967,0.0092774],"genre_scores_gemma":[0.9903075,0.0005959606,0.0002115397,0.0001774109,0.000007985192,0.00002063979,0.003065647,0.000006830891,0.005606438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.188677,"threshold_uncertainty_score":0.3795763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0073095425435627,"score_gpt":0.2672196152148621,"score_spread":0.2599100726712995,"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."}}