{"id":"W4392265208","doi":"10.59350/11nn5-3z953","title":"Policy for Culture Change: Making data sharing the default","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data sharing; Open data; Business; Political science; Center (category theory); Public relations; Public administration; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001861562,0.0001497344,0.0002248503,0.00006319753,0.002339499,0.001604294,0.007514607,0.0001390237,0.00005905698],"category_scores_gemma":[0.001488272,0.00009269819,0.000143503,0.00006831157,0.0001679161,0.0003646451,0.008750511,0.0003067578,0.00001280826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000423597,"about_ca_system_score_gemma":0.0002124346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02093947,"about_ca_topic_score_gemma":0.03897752,"domain_scores_codex":[0.9984162,0.00006513709,0.000173932,0.000658522,0.0003080041,0.0003781793],"domain_scores_gemma":[0.9967377,0.00009220598,0.0002758943,0.002774558,0.00006043295,0.00005917512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007780043,0.00004710416,0.003277782,0.0002153815,0.0004149585,0.000003731017,0.06257968,0.0000271246,0.00002138695,0.4989116,0.09054965,0.3439438],"study_design_scores_gemma":[0.00006485648,0.00000325211,0.000932228,0.0002657494,0.000144429,2.984352e-7,0.003859008,0.005602145,0.000002014937,0.05747768,0.9313506,0.0002976628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000909221,0.001375989,0.02770073,0.1057773,0.002000354,0.003189965,0.003822379,0.0003707224,0.8548534],"genre_scores_gemma":[0.900923,0.002800708,0.01308805,0.004055464,0.02465341,0.0003815033,0.00319331,0.00006904078,0.05083558],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9000137,"threshold_uncertainty_score":0.9994321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.37936565882081,"score_gpt":0.5106065135540409,"score_spread":0.1312408547332308,"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."}}