{"id":"W4398344881","doi":"10.7910/dvn/bflott/v5b7ym","title":"table3.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Psychology; Computer science; Data science; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001832506,0.001765913,0.001372552,0.003264199,0.0007014771,0.002916215,0.002041626,0.001786345,0.3657707],"category_scores_gemma":[0.01649217,0.0007034517,0.001315177,0.005039462,0.0004315328,0.001343831,0.001668333,0.001862503,0.2683183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307862,"about_ca_system_score_gemma":0.001928346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445128,"about_ca_topic_score_gemma":0.02834197,"domain_scores_codex":[0.9988489,0.0002383844,0.000166752,0.00033794,0.0002407885,0.0001673291],"domain_scores_gemma":[0.9941419,0.003146789,0.0005804885,0.0008611456,0.0008652484,0.0004044751],"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":[0.00004461431,0.00001756174,0.0006433289,0.0003905258,0.0000238347,0.000008205314,0.000008706766,0.0001716291,0.00002620882,0.0002461759,0.9968665,0.001552655],"study_design_scores_gemma":[0.0007098173,0.00003883083,0.005062119,0.0004229722,0.00006543026,0.00005135068,0.00007665917,0.0005053745,0.0002145998,0.002582318,0.9902411,0.00002958094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006839375,0.00003386667,0.00004505302,0.00006518284,0.00001872651,0.000007321219,0.9990411,0.0001741852,0.0005460551],"genre_scores_gemma":[0.0005995954,0.00005914764,0.0002518762,0.0001427493,0.00002045837,0.0001153147,0.9968263,0.0001702967,0.001814166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6342293,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08492186807471827,"score_gpt":0.3559162872290733,"score_spread":0.2709944191543551,"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."}}