{"id":"W4391294031","doi":"10.31234/osf.io/dr5hg","title":"Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Institut Universitaire de Gériatrie de Montréal; Baycrest Hospital; University of Calgary","funders":"","keywords":"Data science; Computer science; Knowledge management","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","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7430158,0.002642838,0.004824224,0.02257103,0.01473681,0.04707419,0.0107313,0.0197869,0.01279503],"category_scores_gemma":[0.8266191,0.005077153,0.005121605,0.0194246,0.02532996,0.04122935,0.05930809,0.02634505,0.01748276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039414,"about_ca_system_score_gemma":0.1141385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00229873,"about_ca_topic_score_gemma":0.002893982,"domain_scores_codex":[0.2122681,0.6252674,0.07619326,0.02021068,0.05967024,0.006390451],"domain_scores_gemma":[0.08285062,0.4473735,0.03650981,0.2930344,0.1167398,0.02349194],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004407839,0.0006227965,0.01072679,0.006253143,0.001129969,0.00122164,0.05831064,0.002569454,0.003769718,0.1597381,0.2368349,0.5183821],"study_design_scores_gemma":[0.0005001316,0.000209513,0.004306064,0.01076286,0.0002182229,0.0007700337,0.01597789,0.002695302,0.002283362,0.291811,0.6700526,0.000413064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00784895,0.00785424,0.4750767,0.4144161,0.01653543,0.02201253,0.003091919,0.005086716,0.04807754],"genre_scores_gemma":[0.07540911,0.006429495,0.8113519,0.04826698,0.008950654,0.0356757,0.002963371,0.002737298,0.008215595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9892687,"threshold_uncertainty_score":0.3169073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001375555489173,"score_gpt":0.466610531468816,"score_spread":0.3664729759198987,"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."}}