{"id":"W7014697619","doi":"","title":"Population dynamics of an exploited population of Orconectes virilis in Northwestern Ontario / by George E. Morgan.","year":2017,"lang":"en","type":"other","venue":"Knowledge Commons (Lakehead University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Population; Juvenile; Crayfish; Dominance (genetics); Population growth; Stock (firearms); Stock assessment","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":[0.00009740477,0.0001126404,0.00009247808,0.0003549204,0.0007628473,0.000311998,0.0003692188,0.0001481961,0.001521213],"category_scores_gemma":[0.000210011,0.0001198154,0.00008585554,0.0003551199,0.0004891311,0.0001255431,0.0003321233,0.0001261472,0.000198928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005305364,"about_ca_system_score_gemma":0.002226945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255635,"about_ca_topic_score_gemma":0.9828286,"domain_scores_codex":[0.9999329,0.000005262819,0.000002401009,0.00001870073,0.00002175795,0.00001899298],"domain_scores_gemma":[0.9998653,0.000008339185,0.00003224012,0.000005559313,0.00004530748,0.00004334682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166625,0.00005617228,0.9561728,0.00006336832,0.00004012304,0.0008825188,0.005244047,0.0006274137,0.01195396,0.0003473316,0.002976652,0.02151902],"study_design_scores_gemma":[0.000005363526,0.00003468058,0.9957141,0.000009482354,0.000006290039,0.00006916203,0.001236111,0.0004334123,0.0001138136,0.0000224288,0.002349617,0.000005581186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979975,0.00008070097,0.00004255406,0.0000680899,0.000002450863,0.00001053598,0.0002143532,0.000005849389,0.001577974],"genre_scores_gemma":[0.9962,0.0001192896,0.0001494747,0.00003064454,0.00000133916,0.000008878635,0.0003548199,0.000002134694,0.003133459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07443649,"threshold_uncertainty_score":0.1497496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136705723971985,"score_gpt":0.2389089338730658,"score_spread":0.217541876633346,"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."}}