{"id":"W4385454294","doi":"10.22541/au.169090292.25046420/v1","title":"Morphometry, Growth, and Condition of Hatchery-Reared Cisco ( Coregonus artedi ) and Bloater ( Coregonus hoyi)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hatchery; Biology; Coregonus; Fishery; Abundance (ecology); Fish <Actinopterygii>","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":[0.0001575931,0.0003229694,0.0001349068,0.0007352354,0.0005172749,0.0002759831,0.0002317556,0.0001692906,0.001799207],"category_scores_gemma":[0.0003498879,0.000259912,0.000186458,0.0002880253,0.0004019958,0.0002162366,0.0003791871,0.0002931439,0.0003452721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904658,"about_ca_system_score_gemma":0.0006646098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1713474,"about_ca_topic_score_gemma":0.5621185,"domain_scores_codex":[0.9998779,0.00000658221,0.00000584902,0.00005256724,0.00002624776,0.0000308795],"domain_scores_gemma":[0.999453,0.00003481691,0.0001523513,0.00004284779,0.0001651897,0.0001518368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005197544,0.0001577622,0.9049413,0.00003237048,0.00004618656,0.0001502845,0.00135924,0.0001292992,0.08229855,0.00005580334,0.0004459477,0.00986338],"study_design_scores_gemma":[0.000001368213,0.00005790253,0.9988865,0.000001024203,0.000004206499,0.00002779243,0.0001093163,0.00004062425,0.0007029424,0.000001559306,0.0001643773,0.000002439406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993718,0.00002216643,0.00003253625,0.000003320049,9.221343e-7,0.000006760045,0.0002466089,0.000002206415,0.0003136329],"genre_scores_gemma":[0.9943711,0.00004721444,0.0004007084,0.00002075001,0.00000130775,0.00003340835,0.001103944,0.000008274495,0.004013396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713474,"threshold_uncertainty_score":0.3407001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950042357906164,"score_gpt":0.2323350238811832,"score_spread":0.2128346003021216,"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."}}