{"id":"W2395061090","doi":"10.5281/zenodo.3781970","title":"IRBs and Data Sharing","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"Computer science","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":[0.01461827,0.001006972,0.002537489,0.002406968,0.003260669,0.009835794,0.003311211,0.002060414,0.03555265],"category_scores_gemma":[0.02737193,0.0009062017,0.001017788,0.006535533,0.003603307,0.01527991,0.00724523,0.003898197,0.007844064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256645,"about_ca_system_score_gemma":0.003039512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264627,"about_ca_topic_score_gemma":0.00175468,"domain_scores_codex":[0.9856382,0.005903964,0.0009847844,0.001919883,0.00409809,0.001455104],"domain_scores_gemma":[0.9733969,0.007725826,0.001138079,0.01273235,0.00367164,0.001335135],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005911068,0.0001019971,0.001065887,0.0002476541,0.00007848599,0.0001242423,0.0006606798,0.008418367,0.002594416,0.8415985,0.03240541,0.1121133],"study_design_scores_gemma":[0.00009162512,0.0001404217,0.0005358253,0.0001325739,0.00009364207,0.0003406573,0.0005623314,0.05112558,0.004175317,0.7884251,0.1543164,0.00006045802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.05398168,0.01671456,0.7479883,0.01996436,0.004713671,0.0004358907,0.00104375,0.004863637,0.1502941],"genre_scores_gemma":[0.7464598,0.005488785,0.1339082,0.003011499,0.002561908,0.0005435804,0.001950719,0.002286949,0.1037886],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9853817,"threshold_uncertainty_score":0.1189355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07585414218617643,"score_gpt":0.2907520570970493,"score_spread":0.2148979149108729,"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."}}