{"id":"W2122963530","doi":"10.7939/r33775w6g","title":"Reliability of Online Scoring of First Mentions in the Edmonton Narrative Normative Instrument","year":2011,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Normative; Narrative; Computer science; Reliability engineering; Engineering; Political science; Linguistics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02876873,0.0003757383,0.000509448,0.004750763,0.001122216,0.002330428,0.001178991,0.0007908195,0.003292283],"category_scores_gemma":[0.1161677,0.0003986713,0.0006201917,0.001778494,0.001042173,0.001775479,0.00267042,0.0009827005,0.001775753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848996,"about_ca_system_score_gemma":0.001991104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229559,"about_ca_topic_score_gemma":0.0464677,"domain_scores_codex":[0.9835616,0.007054488,0.001512862,0.001417292,0.005880711,0.0005730927],"domain_scores_gemma":[0.8756486,0.06243319,0.007222367,0.00868015,0.04381863,0.002197228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007692375,0.0007042442,0.7986929,0.0002930927,0.0002169143,0.0001087835,0.03184801,0.001388123,0.003574066,0.003239474,0.01045351,0.1487116],"study_design_scores_gemma":[0.00003866066,0.0002090866,0.963087,0.0002883894,0.0001099669,0.0001398832,0.009147701,0.003339458,0.004292688,0.001102797,0.01815767,0.00008670158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610906,0.0002732492,0.005980701,0.0003246914,0.0002133985,0.0003494696,0.001441873,0.0002811267,0.03004483],"genre_scores_gemma":[0.9791018,0.0002426179,0.007761454,0.0001080126,0.00005569652,0.0008747684,0.002879316,0.0001685084,0.008807836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02876873,"threshold_uncertainty_score":0.1521454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042348144878596,"score_gpt":0.1873415134306924,"score_spread":0.1669180319819064,"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."}}