{"id":"W3138649989","doi":"10.7202/1075884ar","title":"Reflection from Inside and Flying Fish","year":2021,"lang":"en","type":"article","venue":"The Trumpeter","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reflection (computer programming); Fish <Actinopterygii>; Fishery; Optics; Computer science; Physics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005455323,0.001009198,0.0006082722,0.00122888,0.01528728,0.01472544,0.001554676,0.01056173,0.0236067],"category_scores_gemma":[0.01558196,0.0005000443,0.0005149598,0.001121953,0.03371087,0.01756247,0.009765308,0.03054506,0.004095856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007411249,"about_ca_system_score_gemma":0.005146103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213787,"about_ca_topic_score_gemma":0.02710348,"domain_scores_codex":[0.9948085,0.003411236,0.00008516515,0.000400318,0.0006092638,0.0006854659],"domain_scores_gemma":[0.9922557,0.004674205,0.0002932007,0.0004591991,0.0009363444,0.001381351],"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":[0.00003786564,0.00003336851,0.0001885608,0.0001383232,0.00001386041,0.0005033383,0.1962961,0.00005360602,0.0002432827,0.2256481,0.5654079,0.01143557],"study_design_scores_gemma":[0.000005921535,0.00001321569,0.0001962805,0.0003596775,0.000004129544,0.0002097808,0.1119222,0.0000175254,0.00008307488,0.0112785,0.8758991,0.0000105089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009131682,0.02396198,0.001026915,0.7296337,0.03908501,0.00001862102,0.00005116614,0.00004278239,0.1970482],"genre_scores_gemma":[0.253391,0.01567832,0.0008836238,0.3203146,0.0178796,0.00007823566,0.00003561279,0.0004974694,0.3912416],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0236067,"threshold_uncertainty_score":0.07897222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845865432570582,"score_gpt":0.2412249356543427,"score_spread":0.1727662813286369,"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."}}