{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00515678,0.001090894,0.001141251,0.003923992,0.001118057,0.00474388,0.002326794,0.001473669,0.1583055],"category_scores_gemma":[0.04398936,0.0007122942,0.001055378,0.005756684,0.0005366307,0.002775772,0.002894849,0.002258835,0.2365739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002550117,"about_ca_system_score_gemma":0.004847831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016231,"about_ca_topic_score_gemma":0.04330601,"domain_scores_codex":[0.9952561,0.0008377191,0.0007672622,0.0007513378,0.002036799,0.0003507135],"domain_scores_gemma":[0.9685486,0.006673797,0.003094988,0.006907066,0.01258824,0.002187238],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001030469,0.000003614231,0.0004156836,0.00006715383,0.000005069581,0.000002539038,0.000005400016,0.00001423301,0.00001568864,0.0001112722,0.9980248,0.001324311],"study_design_scores_gemma":[0.00004798918,0.0000059209,0.003361705,0.0001467964,0.00001213278,0.0000202907,0.00005327839,0.000171919,0.0002173662,0.0004724059,0.9954722,0.000018067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0002085311,0.00006972704,0.0002610891,0.0008803664,0.0002504672,0.00004186933,0.9918572,0.0009696016,0.005461153],"genre_scores_gemma":[0.001358491,0.0001178517,0.001226779,0.0004248069,0.00009751568,0.000201361,0.9844713,0.0004990401,0.01160291],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9948432,"threshold_uncertainty_score":0.5295847,"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."}}