{"id":"W4367054167","doi":"10.31234/osf.io/xc7hr","title":"The landscape of open science in behavioral addiction research: Current practices and future directions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Psychedelics and Drug Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"European Commission","keywords":"Open science; Open research; Field (mathematics); Set (abstract data type); Addiction; Best practice; Engineering ethics; Citizen science; Knowledge management; Work (physics); Publishing; Data science; Public relations; Computer science; Psychology; Political science; Engineering; World Wide Web","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":[0.3470979,0.001288883,0.003737051,0.007803285,0.01000295,0.04277122,0.007659385,0.01968116,0.01124601],"category_scores_gemma":[0.3177984,0.001578745,0.003244935,0.00997566,0.06996389,0.0718713,0.02806352,0.03233874,0.002389976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01397886,"about_ca_system_score_gemma":0.0659622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006458424,"about_ca_topic_score_gemma":0.008210028,"domain_scores_codex":[0.7815356,0.1565239,0.01443404,0.0153469,0.02621296,0.005946527],"domain_scores_gemma":[0.2233532,0.6814435,0.01421949,0.03158308,0.03567,0.0137307],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002609098,0.0003409529,0.003656267,0.01537148,0.0002087448,0.0002956587,0.01736988,0.0008523444,0.0005192135,0.4490806,0.03502789,0.4770159],"study_design_scores_gemma":[0.00007401509,0.0001756214,0.001727469,0.04213991,0.0001135906,0.0004025158,0.01568765,0.0006976857,0.0004074299,0.6632578,0.2751286,0.0001876645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002004779,0.2557216,0.01848501,0.7093012,0.005679276,0.0001302152,0.0001255279,0.0001637024,0.008388548],"genre_scores_gemma":[0.1152698,0.5735998,0.1195702,0.1633688,0.02362431,0.001485863,0.000420896,0.0004936999,0.002166594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9923406,"threshold_uncertainty_score":0.8051445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4264320494389975,"score_gpt":0.5774416519543375,"score_spread":0.15100960251534,"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."}}