{"id":"W2766372071","doi":"10.1002/pra2.2017.14505401100","title":"Human dimensions of peer review in information science","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Appeal; Publication; Privilege (computing); Subject (documents); Argument (complex analysis); Publishing; Sociology; Peer review; Public relations; Engineering ethics; Presentation (obstetrics); Psychology; Political science; Computer science; Library science; Engineering; Law; 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":[0.0359221,0.0003115465,0.0004866567,0.003819745,0.006695422,0.01744117,0.001091845,0.001858255,0.006906291],"category_scores_gemma":[0.09804517,0.0003421664,0.0002844965,0.002249418,0.03064806,0.006717159,0.007604114,0.00180754,0.0006398375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00621143,"about_ca_system_score_gemma":0.008121992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573636,"about_ca_topic_score_gemma":0.002366596,"domain_scores_codex":[0.8817227,0.09672274,0.001817199,0.003078232,0.01482542,0.001833754],"domain_scores_gemma":[0.7503514,0.1828526,0.02138906,0.01070662,0.02276853,0.0119318],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001490247,0.0002954023,0.02544248,0.001053284,0.0001535583,0.0004928469,0.1839293,0.001794086,0.001268456,0.6323502,0.01703783,0.1360335],"study_design_scores_gemma":[0.0001077301,0.0004027194,0.03811686,0.0009440645,0.00008142522,0.0009360972,0.1031682,0.002947993,0.001688906,0.4995634,0.3518229,0.000219828],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2392189,0.01054595,0.05792728,0.05294086,0.001676924,0.0004133819,0.0001047843,0.0002856681,0.6368862],"genre_scores_gemma":[0.9894462,0.001068636,0.003442408,0.0009871568,0.000328475,0.00007632084,0.00001047641,0.00003839839,0.004601847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9640779,"threshold_uncertainty_score":0.1899765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034397534540885,"score_gpt":0.3551614531378296,"score_spread":0.3348174777924208,"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."}}