{"id":"W2918072845","doi":"10.25011/cim.v31i6.4929","title":"YIF Poster Awards 2008","year":2008,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Medical education; Gerontology; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001450439,0.0002366698,0.0008430266,0.0001781294,0.0002154807,0.000004347334,0.0001514003,0.0001632182,0.0005730212],"category_scores_gemma":[0.005846424,0.0001367454,0.00009931835,0.0005123838,0.03227115,0.0001425826,0.0001007886,0.0007173879,0.0001099271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126854,"about_ca_system_score_gemma":0.0003768197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324766,"about_ca_topic_score_gemma":0.000008562453,"domain_scores_codex":[0.9972416,0.0001566641,0.0007699672,0.0005802973,0.000794266,0.0004571899],"domain_scores_gemma":[0.9972197,0.0003297952,0.0001153387,0.0003822485,0.0003606349,0.001592311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002081647,0.0002216113,0.8347439,0.0001012604,0.00008883906,0.0006588988,0.002113058,6.639531e-8,0.003386135,0.001280373,0.1450615,0.01213627],"study_design_scores_gemma":[0.005839977,0.004097036,0.9137097,0.0005305183,0.0001041405,0.0007440231,0.0005577218,0.000083165,0.001033666,0.003546141,0.06956526,0.0001886849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844587,0.001907529,0.00005546189,0.09203498,0.0006851535,0.0004111915,0.000003412243,0.00007263764,0.02037098],"genre_scores_gemma":[0.9578036,0.002623593,0.000453406,0.02444767,0.002216852,0.00001547203,0.00002643686,0.00002008269,0.01239285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07896581,"threshold_uncertainty_score":0.9703624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3899979234587534,"score_gpt":0.4415507246261509,"score_spread":0.05155280116739747,"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."}}