{"id":"W7096743515","doi":"","title":"SUMMARY","year":2015,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Focus (optics); Control (management); Subject (documents); Presentation (obstetrics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002122389,0.00003423259,0.00006634148,0.00001059749,0.000008950778,0.00001010372,0.00005043855,0.00001852314,0.0003223193],"category_scores_gemma":[0.001193247,0.00002372029,0.00001124732,0.00004050747,0.00001763211,0.00002224584,0.00001964855,0.00003213574,0.0001043402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007573722,"about_ca_system_score_gemma":0.00001950006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000836478,"about_ca_topic_score_gemma":0.00000231329,"domain_scores_codex":[0.9996781,0.00003074495,0.00007342883,0.00005743453,0.00008420906,0.00007612352],"domain_scores_gemma":[0.9994221,0.0003454277,0.00001123886,0.00009996472,0.00003592427,0.00008533985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001959778,0.00001236799,0.0001590759,0.000003635917,0.00000158166,0.000002898391,0.00002685627,3.42013e-9,0.000009697627,0.9083517,0.06910654,0.02232372],"study_design_scores_gemma":[0.00008165443,0.00002145434,0.00007873434,0.000003977632,0.000003219466,0.000002410894,0.00004227758,0.0001290412,0.0001996977,0.9937453,0.005650691,0.00004154856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002356098,0.000005671908,0.6971425,0.000121557,0.00005594943,0.00002177131,0.000001169211,0.00004334166,0.3023724],"genre_scores_gemma":[0.006875368,5.961107e-7,0.9903909,0.0001357516,0.0000379524,0.000002472204,2.916774e-7,0.000004140626,0.002552534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2998199,"threshold_uncertainty_score":0.352917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876992966395243,"score_gpt":0.4198102651441927,"score_spread":0.2321109685046683,"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."}}