{"id":"W4387092153","doi":"10.54590/pop.2023.001","title":"Introduction: Reviewing, Refining, and Revising Open Social Scholarship","year":2023,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scholarship; Refining (metallurgy); Sociology; Engineering ethics; Political science; Engineering; Materials science; Metallurgy; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.06550412,0.001135809,0.001006468,0.01094145,0.008717167,0.01970615,0.003140036,0.007347965,0.0120388],"category_scores_gemma":[0.1748328,0.0008498443,0.001250066,0.01256287,0.01653519,0.0160997,0.007804157,0.01449892,0.004477079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00859743,"about_ca_system_score_gemma":0.02278462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338537,"about_ca_topic_score_gemma":0.01964891,"domain_scores_codex":[0.9506832,0.02217853,0.004661083,0.004503814,0.01660482,0.001368566],"domain_scores_gemma":[0.6809553,0.213929,0.01001784,0.01933683,0.07133355,0.004427484],"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":[0.00003908173,0.00003962463,0.0009249498,0.003304578,0.00003586752,0.0001238013,0.01614166,0.0003114009,0.001049891,0.140594,0.7010235,0.1364117],"study_design_scores_gemma":[0.000005242206,0.00001877106,0.000828577,0.003879731,0.00002349537,0.0001259899,0.004640142,0.0002789763,0.0007289771,0.02923646,0.96018,0.00005352622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004775215,0.06251601,0.07224301,0.6559475,0.1642794,0.0008559423,0.002631062,0.001741125,0.0350108],"genre_scores_gemma":[0.09836499,0.09753963,0.2301859,0.2990904,0.205021,0.002578311,0.0044354,0.005215532,0.05756898],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.99686,"threshold_uncertainty_score":0.346423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4344667794663261,"score_gpt":0.4930842307039163,"score_spread":0.05861745123759027,"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."}}