{"id":"W1575591288","doi":"","title":"Holy State - Medicine Hat","year":2010,"lang":"en","type":"article","venue":"","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Computer science; Medicine; Algorithm","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":[],"category_scores_codex":[0.0001100297,0.00004120959,0.00005697948,0.00004009709,0.000180372,0.00001295943,0.00006466904,0.00001290259,0.1311319],"category_scores_gemma":[0.00004779066,0.0000260844,0.00001108844,0.00001720759,0.0004425577,0.00009782059,0.000007485153,0.0001411097,0.0005128197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002707464,"about_ca_system_score_gemma":0.0000124014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001447997,"about_ca_topic_score_gemma":0.001045746,"domain_scores_codex":[0.9996479,0.00000463184,0.0001099534,0.0000633254,0.00009640672,0.00007780372],"domain_scores_gemma":[0.9997503,0.00002546546,0.00001994924,0.0001024862,0.00005526898,0.00004659114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001007077,0.00000994272,0.000007594699,0.00000210035,0.000002146302,8.387381e-7,0.004738135,1.020737e-8,0.0006621488,0.7386985,0.2515204,0.004357174],"study_design_scores_gemma":[0.0001025975,0.0000301021,0.00008758192,0.000003346375,0.000002315578,6.291426e-7,0.0003216983,0.00001009667,0.00005127835,0.008850258,0.990499,0.00004110466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05708447,0.0000129267,0.000100045,0.004439923,0.001930029,0.00003393086,0.000003803339,0.00007032246,0.9363245],"genre_scores_gemma":[0.6267043,0.000002011973,0.00007002493,0.003572477,0.000945429,0.000004030607,0.00001326266,0.000004564952,0.3686839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7389786,"threshold_uncertainty_score":0.8696623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221665397410234,"score_gpt":0.2398021556064721,"score_spread":0.1975855016323697,"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."}}