{"id":"W4404424689","doi":"10.3897/arphapreprints.e141840","title":"Two simple ways to make taxonomic diagnoses more useful","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Medical diagnosis; Simple (philosophy); Computer science; Data science; Medicine; Epistemology; Radiology; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001215864,0.0003279315,0.0003985881,0.00001795004,0.0001559589,0.0002294603,0.0004140279,0.00014592,0.001795425],"category_scores_gemma":[0.00003993551,0.0001029941,0.0002424418,0.0001626225,0.00004116334,0.00001375911,0.002305764,0.0003080978,0.001022753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004074654,"about_ca_system_score_gemma":0.00001168815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01032043,"about_ca_topic_score_gemma":0.04425967,"domain_scores_codex":[0.9984623,0.00001842792,0.0002876717,0.000697126,0.0001680221,0.0003664413],"domain_scores_gemma":[0.9994057,0.0002188253,0.00006002864,0.0001207964,0.00004393018,0.0001507392],"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":[0.00006449511,0.0002409476,0.1563634,0.0002595661,0.0004522513,0.0001389926,0.0005842455,0.001096814,0.008913717,0.01459347,0.5876198,0.2296724],"study_design_scores_gemma":[0.00009141516,0.0002027988,0.2350545,0.0001517492,0.00009377992,0.000006584515,0.0002564308,0.000141982,0.0006335532,0.0182477,0.7440889,0.001030531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628892,0.001051896,0.00001372274,0.005602751,0.0006234652,0.0005826965,0.0005278455,0.0002448186,0.02846361],"genre_scores_gemma":[0.9930368,0.0002242073,0.0004617992,0.001457169,0.00106798,0.0002365462,0.0001708165,0.000002244526,0.003342412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286418,"threshold_uncertainty_score":0.9997551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06678193497601789,"score_gpt":0.2888985204244132,"score_spread":0.2221165854483953,"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."}}