{"id":"W4242221155","doi":"10.3410/f.10134960.11183054","title":"Faculty Opinions recommendation of Any jackass can trash a manuscript, but it takes good scholarship to create one (how MBoC promotes civil and constructive peer review).","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scholarship; Constructive; Political science; Computer science; Library science; Medical education; Medicine; Law","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"],"consensus_categories":[],"category_scores_codex":[0.003390185,0.0006997488,0.001623232,0.0007312262,0.0003526421,0.0003607941,0.001563204,0.0009173458,0.0003657181],"category_scores_gemma":[0.01588763,0.000489379,0.000411224,0.002418067,0.0004014944,0.0008945554,0.000622189,0.001377508,0.0000549111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118531,"about_ca_system_score_gemma":0.0003549409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009085396,"about_ca_topic_score_gemma":0.0004437958,"domain_scores_codex":[0.9947038,0.0003313181,0.001782985,0.000988445,0.00163461,0.0005588664],"domain_scores_gemma":[0.9840294,0.00008836554,0.002299212,0.001443829,0.01194555,0.0001936614],"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":[0.00001048148,0.0002120556,0.0000450266,0.03705419,0.0001678834,6.382266e-7,0.00007939854,2.454594e-9,0.00000235473,0.001444681,0.9565955,0.004387739],"study_design_scores_gemma":[0.0004719995,0.00009795554,0.002974143,0.04268318,0.0003253082,0.00004145613,0.0001329974,0.000001343563,0.000006662744,0.0001204288,0.9526963,0.000448287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003192889,0.001818222,0.00001416882,0.405647,0.0004601296,0.002217314,0.5895996,0.00005368285,0.0001867045],"genre_scores_gemma":[0.00007343364,0.0008096476,0.000503328,0.01843864,0.0005209845,0.0004683731,0.9777941,0.00004335187,0.001348205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3881944,"threshold_uncertainty_score":0.9997558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07297763517185804,"score_gpt":0.3314864017993404,"score_spread":0.2585087666274823,"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."}}