{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009600403,0.000438633,0.0004732088,0.0001548216,0.0001041739,0.00008951114,0.0007542582,0.0004507714,0.2890796],"category_scores_gemma":[0.00005474341,0.0004276248,0.0001687413,0.0002001368,0.00007581815,0.000108989,0.0003256401,0.000574983,0.9177527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006927028,"about_ca_system_score_gemma":0.00007536446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300332,"about_ca_topic_score_gemma":0.00006498247,"domain_scores_codex":[0.997955,0.0001084407,0.0003319737,0.0008129566,0.0003181739,0.0004734139],"domain_scores_gemma":[0.9976301,0.00005177619,0.0001869695,0.001825972,0.0000377173,0.0002675186],"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":[0.00007660522,0.0003386257,0.00008815121,0.00003469662,0.0002615577,0.001793791,0.00004878167,1.447667e-7,0.000003193974,0.00003155492,0.9968812,0.000441658],"study_design_scores_gemma":[0.001063795,0.0001154711,0.0004521057,0.00002986478,0.0006206973,0.00004465246,0.00006193822,2.123966e-7,0.000004309659,0.000008288624,0.9972363,0.0003624226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000316107,0.000001185461,0.000005104559,0.000005303652,0.002990631,0.0003114697,0.99506,0.0001183007,0.001476378],"genre_scores_gemma":[0.00004384401,0.00006373628,0.00008566145,0.0005865897,0.0003866897,0.00009011291,0.9960621,0.00004683427,0.002634443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6286731,"threshold_uncertainty_score":0.9998176,"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."}}