{"id":"W4239244167","doi":"10.1136/jcp.2005.030247","title":"<i>The Journal of Clinical Pathology</i>","year":2005,"lang":"he","type":"article","venue":"Journal of Clinical Pathology","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Pathology; Medicine; Bioinformatics; Data science; Computer science; Biology","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1473666,0.000604945,0.006274507,0.0002505941,0.0003338255,0.00009594821,0.001677055,0.002459701,0.0008299736],"category_scores_gemma":[0.1962567,0.0003664673,0.00400642,0.0004586952,0.002850078,0.000619176,0.0003207538,0.01210378,0.000554261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008867322,"about_ca_system_score_gemma":0.004113935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002963968,"about_ca_topic_score_gemma":0.00005481352,"domain_scores_codex":[0.9445962,0.02236101,0.02953454,0.0006010958,0.00172132,0.001185815],"domain_scores_gemma":[0.8728628,0.08783617,0.02999643,0.001450588,0.005779147,0.002074817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04328874,0.008755982,0.1836599,0.0001313724,0.002453711,0.01411452,0.0004910338,0.00005734912,0.0004294656,0.001287589,0.1181968,0.6271335],"study_design_scores_gemma":[0.02282027,0.02086911,0.1193526,0.0004333651,0.004120586,0.009741019,0.0007296655,0.0001682334,0.00002590484,0.0008321935,0.8205561,0.0003509765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821521,0.03296589,0.001144127,0.1131832,0.02905343,0.0004298588,0.00004324863,0.00001441405,0.001644849],"genre_scores_gemma":[0.8332593,0.08024751,0.00458269,0.02857892,0.05180242,0.000001286656,0.00000210623,0.0000902438,0.001435486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7023593,"threshold_uncertainty_score":0.9998787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600633949289546,"score_gpt":0.5247993039397728,"score_spread":0.3647359090108182,"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."}}