{"id":"W4220726663","doi":"10.31219/osf.io/7yuje","title":"Favouring Responsible Publishing: Creating a Database of Researchers and Surveying Their Knowledge, Attitudes and Opinions towards Open Access Publishing and a New Field-Specific Journal","year":2022,"lang":"en","type":"preprint","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; McMaster University; Impact; Ottawa Hospital","funders":"Government of Canada; Australian Government","keywords":"Publishing; Reputation; Snowball sampling; Public relations; Psychology; Political science; Library science; Computer science; Sociology; Medicine; Social science; Law","routes":{"ca_aff":true,"ca_fund":true,"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","open_science"],"consensus_categories":[],"category_scores_codex":[0.06156481,0.0004832775,0.00177676,0.02674406,0.004058854,0.009226463,0.003086545,0.002272558,0.006436773],"category_scores_gemma":[0.1657376,0.001198613,0.001167971,0.02632031,0.002025702,0.00979464,0.006707141,0.001479288,0.003324197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310004,"about_ca_system_score_gemma":0.01635215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004986427,"about_ca_topic_score_gemma":0.009155471,"domain_scores_codex":[0.9398994,0.01812545,0.0209217,0.00561179,0.0136302,0.001811469],"domain_scores_gemma":[0.658329,0.1823572,0.08435826,0.01900348,0.0458598,0.01009227],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009692,0.001027593,0.4487485,0.02095579,0.0003346388,0.001938699,0.1320328,0.0003325873,0.004684974,0.003276518,0.04249765,0.343201],"study_design_scores_gemma":[0.0005530954,0.001863411,0.3490683,0.01723337,0.0008570845,0.002473777,0.2829209,0.002518527,0.004432936,0.003540945,0.3339652,0.0005724478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846988,0.008846601,0.01279012,0.007919136,0.0003502849,0.03236309,0.06644532,0.0007138337,0.02358357],"genre_scores_gemma":[0.6595131,0.01662238,0.1792214,0.005743837,0.0005809742,0.08653528,0.04246005,0.0003067597,0.009016129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9969134,"threshold_uncertainty_score":0.3255897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8888730633324748,"score_gpt":0.6516371918486598,"score_spread":0.2372358714838151,"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."}}