{"id":"W7011731670","doi":"","title":"2nd Quarter Highlights, Volume 4, Issue 2","year":2005,"lang":"en","type":"article","venue":"SMARTech Repository (Georgia Institute of Technology)","topic":"Medicine and Dermatology Studies History","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Quarter (Canadian coin)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001537162,0.000353073,0.0008924311,0.0008025889,0.0002822091,0.000006700117,0.0003425298,0.0006716954,0.00007837153],"category_scores_gemma":[0.00008601604,0.0003070843,0.0001932001,0.000573151,0.001573566,0.0002315389,0.0001294217,0.0006015258,0.0003341649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525972,"about_ca_system_score_gemma":0.0003310221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002726392,"about_ca_topic_score_gemma":0.00001316999,"domain_scores_codex":[0.9977188,0.00002135559,0.0008361991,0.0005638703,0.000374994,0.0004847916],"domain_scores_gemma":[0.9980624,0.0000150732,0.0003058768,0.001167139,0.0002850887,0.0001644725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003197191,0.0009541676,0.03057414,0.0005433349,0.0008099966,0.001886477,0.0004381081,0.000008107019,0.06108182,0.01051321,0.8779223,0.01494864],"study_design_scores_gemma":[0.001536429,0.0004909287,0.002508819,0.0001787856,0.0002651347,0.001223181,0.000203995,0.00004545712,0.04350499,0.00007163967,0.9497106,0.0002600553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5134493,0.009544735,0.0009136911,0.06849572,0.005307088,0.00128144,0.000007910023,0.001856293,0.3991438],"genre_scores_gemma":[0.9299575,0.0003133819,0.02633316,0.00390794,0.001509103,0.0001702932,0.00002720473,0.00007690427,0.03770448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165083,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609339977276319,"score_gpt":0.2280246749176644,"score_spread":0.2219312751449012,"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."}}