{"id":"W2277149868","doi":"10.1080/02286203.2002.11442219","title":"Structural Modelling of Fish as Applied to Portion Control in Automated Canning","year":2002,"lang":"en","type":"article","venue":"International Journal of Modelling and Simulation","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Line (geometry); Computer science; Function (biology); Production line; Fish <Actinopterygii>; Process (computing); Simulation; Engineering; Mathematics; Mechanical engineering; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938066,0.00007410103,0.0001754113,0.0002798245,0.00001851797,0.00001769083,0.00008791265,0.0001063248,0.000007265362],"category_scores_gemma":[0.00001685582,0.00007379041,0.00003185231,0.00007415828,0.000008814335,0.0001217578,0.000004843067,0.0001586858,8.936627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005940312,"about_ca_system_score_gemma":0.000006378526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003401833,"about_ca_topic_score_gemma":0.000002780954,"domain_scores_codex":[0.9991491,0.00001060591,0.0004952187,0.00006230451,0.0001970724,0.00008568321],"domain_scores_gemma":[0.9995685,0.00005607103,0.0001493356,0.00003825868,0.0001577707,0.00003002789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008198921,0.000005424451,0.0002383607,0.000003980866,0.00004649318,0.000005265366,0.0003829405,0.9957471,0.0006776389,0.0002050037,0.00001142509,0.002594356],"study_design_scores_gemma":[0.001082349,0.00002814614,0.00005635545,0.00008042985,0.00001016586,0.00001189067,0.00004299685,0.9977545,0.0002860166,0.0005462073,0.00003724637,0.00006368225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7129596,0.00006566479,0.2864214,0.00008889318,0.0002371418,0.00006293273,0.000002591889,0.00003818849,0.0001235834],"genre_scores_gemma":[0.9994553,0.00001584965,0.0003532477,0.00003339695,0.0001243338,0.000001387626,0.000001766664,0.000008383666,0.000006382265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2864957,"threshold_uncertainty_score":0.3009086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074935316888772,"score_gpt":0.2455202988053999,"score_spread":0.2147709456365122,"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."}}