{"id":"W6944001667","doi":"10.17605/osf.io/v9yt7","title":"Clean Data for sharing","year":2017,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Key (lock); Clean technology; Data collection; Work (physics)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01049036,0.00243131,0.003139775,0.005115309,0.004372874,0.01225791,0.00446358,0.002970156,0.06053211],"category_scores_gemma":[0.0603646,0.002344188,0.003185023,0.007788945,0.003451481,0.01577749,0.01591156,0.008188135,0.0488284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216581,"about_ca_system_score_gemma":0.01071903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005289113,"about_ca_topic_score_gemma":0.003574909,"domain_scores_codex":[0.9731587,0.004209117,0.002202004,0.004282733,0.01296913,0.003178392],"domain_scores_gemma":[0.8670303,0.005857002,0.00165126,0.1118536,0.01201743,0.001590506],"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":[0.001613773,0.0005095354,0.004598678,0.0006734616,0.0005277551,0.0003744702,0.00106329,0.006552481,0.01562049,0.1806191,0.5204908,0.2673561],"study_design_scores_gemma":[0.0002384627,0.0001387633,0.002948633,0.0002242428,0.0001793187,0.0004433975,0.0006712485,0.01921065,0.04521563,0.3192925,0.6111389,0.0002981475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01910022,0.001261696,0.714559,0.009865018,0.00702678,0.002849204,0.07117023,0.07210272,0.1020652],"genre_scores_gemma":[0.2892567,0.001484962,0.397039,0.006421363,0.004077418,0.003809635,0.1442844,0.03158747,0.122039],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9955364,"threshold_uncertainty_score":0.2025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091430467932259,"score_gpt":0.4138688777894028,"score_spread":0.2047258309961769,"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."}}