{"id":"W106139605","doi":"","title":"Peer Review and Legal Publishing: What Law Librarians Need to Know about Open, Single-Blind, and Double-Blind Reviewing","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Publishing; Double blind; Selection (genetic algorithm); Peer review; Single blind; Legal research; Political science; Open peer review; Law; Legal writing; Public relations; Computer science; Medicine; Alternative medicine","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":[0.07939108,0.0009376616,0.002350453,0.006268509,0.01008571,0.0372607,0.003422118,0.01741021,0.01617525],"category_scores_gemma":[0.2550845,0.001134843,0.001211794,0.007263479,0.03308683,0.07530811,0.007848359,0.01669542,0.01103875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007347552,"about_ca_system_score_gemma":0.02392076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007331016,"about_ca_topic_score_gemma":0.01165597,"domain_scores_codex":[0.872885,0.0659453,0.008809661,0.004478279,0.04512835,0.002753308],"domain_scores_gemma":[0.5888801,0.2298721,0.02290494,0.02898219,0.1072624,0.02209818],"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":[0.00007854812,0.0001721851,0.001880472,0.004285708,0.00006156406,0.0002316218,0.006396603,0.0001658296,0.0004230736,0.07280888,0.5283651,0.3851304],"study_design_scores_gemma":[0.00003766492,0.000121025,0.002469763,0.006547526,0.00004039234,0.001142984,0.00572474,0.0002810348,0.0004903827,0.09985324,0.8831061,0.0001851746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001007788,0.167009,0.008043279,0.7860604,0.01599239,0.00008633512,0.00003422237,0.0003066233,0.02145996],"genre_scores_gemma":[0.05540514,0.5226905,0.04260818,0.2336928,0.09906861,0.0003931507,0.0001869469,0.0009975003,0.04495725],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9206089,"threshold_uncertainty_score":0.4198652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09058961384895464,"score_gpt":0.3911298264182336,"score_spread":0.300540212569279,"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."}}