{"id":"W3097025236","doi":"","title":"Feed transition strategies for extensive/intensive production of advanced walleye fingerlings in Ontario.","year":2007,"lang":"en","type":"article","venue":"World aquaculture.","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Environmental science; Fishery; Biology; Economics","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":[0.0002173887,0.0001518503,0.00009986068,0.0002247352,0.001199604,0.0004955119,0.0005362013,0.0001928342,0.001969932],"category_scores_gemma":[0.0002604086,0.00007285461,0.0001357729,0.0002284056,0.0002631113,0.000197398,0.0005141089,0.0001952902,0.0002304382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006158707,"about_ca_system_score_gemma":0.009383964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7586768,"about_ca_topic_score_gemma":0.9550282,"domain_scores_codex":[0.9998926,0.00001023229,0.000004818649,0.00001921607,0.00001932728,0.00005387254],"domain_scores_gemma":[0.9997783,0.00001206512,0.00003148847,0.000005804081,0.00004749129,0.000124954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003692317,0.001267304,0.5936981,0.0006405698,0.0001182069,0.004593715,0.02227838,0.003046504,0.1094955,0.001901908,0.008757401,0.25051],"study_design_scores_gemma":[0.0000463923,0.000712705,0.9703888,0.00009092168,0.00004324056,0.0001489165,0.01190952,0.0006993051,0.002534957,0.0001711235,0.01323719,0.00001693364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962763,0.0001685015,0.0002404755,0.00012399,0.000006045565,0.00006276189,0.0001664742,0.00001354112,0.002941822],"genre_scores_gemma":[0.9909387,0.0002329533,0.001528536,0.00008336433,0.000002764443,0.00005666836,0.0003418328,0.000005947122,0.00680926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2413232,"threshold_uncertainty_score":0.4854887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680780007280606,"score_gpt":0.2566814956921028,"score_spread":0.2398736956192967,"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."}}