{"id":"W6888821828","doi":"10.23645/epacomptox.22280740","title":"Trophic Niche Overlap Of Lake Superior Nearshore Fishes","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trophic level; Niche; Ecological niche; Commission; Bycatch","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002750803,0.0002497793,0.0005014003,0.0001681444,0.0000448924,0.0003357335,0.00286281,0.000255341,0.001794138],"category_scores_gemma":[0.00008295483,0.0002313444,0.00008887472,0.0003975001,0.00009755822,0.0001605452,0.0009150062,0.0002211829,0.001721307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001970347,"about_ca_system_score_gemma":0.0002487081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001948361,"about_ca_topic_score_gemma":0.0004492467,"domain_scores_codex":[0.9983776,0.00006730745,0.0002754572,0.0006158032,0.0003593758,0.0003044249],"domain_scores_gemma":[0.9984903,0.00009602918,0.0002147295,0.001079887,0.00002912061,0.0000899832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001128523,0.0001515773,0.002721748,0.00008990374,0.0003088884,0.000810671,0.002281319,0.0002261766,0.00009884423,0.000114238,0.5386745,0.4545109],"study_design_scores_gemma":[0.000395342,0.0001179529,0.001887655,0.0006204541,0.00003066444,0.00002559146,0.00003843616,0.005493559,0.0001456287,0.00003320282,0.9907538,0.000457694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001066981,0.0006146724,0.01372879,0.0008527407,0.004105218,0.001780867,0.0005844811,0.0002057868,0.9770604],"genre_scores_gemma":[0.0001246308,0.00002670899,0.3052587,0.00003107232,0.0001990805,0.00001980091,0.00002362908,0.00034375,0.6939726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4540532,"threshold_uncertainty_score":0.9991183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05074712949703659,"score_gpt":0.3032152719577168,"score_spread":0.2524681424606802,"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."}}