{"id":"W4385617775","doi":"10.1016/j.cub.2023.05.036","title":"Open science","year":2023,"lang":"en","type":"article","venue":"Current Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Open science; Replication (statistics); Incentive; Data science; Biology; Publishing; Engineering ethics; Data sharing; Computer science; Code (set theory); Political science; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004977067,0.0007061603,0.0008898616,0.005387196,0.002431498,0.01116717,0.001780876,0.00309567,0.430198],"category_scores_gemma":[0.02491862,0.000625013,0.0007791378,0.004218533,0.002734668,0.008827523,0.005956208,0.004563356,0.3253444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051775,"about_ca_system_score_gemma":0.005448905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159182,"about_ca_topic_score_gemma":0.001742401,"domain_scores_codex":[0.9958812,0.0005315199,0.0002369194,0.0006375878,0.002435374,0.0002773103],"domain_scores_gemma":[0.9744504,0.004939103,0.0009794277,0.01009136,0.005633372,0.003906414],"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":[0.00003265708,0.00006435336,0.0005916426,0.0002033279,0.00001421473,0.00005670181,0.0001573709,0.00009399656,0.0006035701,0.1393675,0.6546299,0.2041848],"study_design_scores_gemma":[0.000004190446,0.000005115859,0.0002370931,0.0000679664,0.000003518169,0.00004568509,0.00003668779,0.00007389598,0.0001403916,0.02664525,0.972735,0.000005268207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007771915,0.00175695,0.01351495,0.01259657,0.005882623,0.0001157866,0.003811565,0.004474814,0.9570695],"genre_scores_gemma":[0.01548511,0.003931255,0.009532386,0.005937543,0.005879278,0.0002755443,0.01132037,0.003416751,0.9442218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9982191,"threshold_uncertainty_score":0.8127534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3595992090866648,"score_gpt":0.5213519444646127,"score_spread":0.1617527353779479,"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."}}