{"id":"W4398623357","doi":"10.7910/dvn/iqkriy/euohsa","title":"nsduh2008.csv","year":2011,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Extension (predicate logic); Law; Computer science; Psychology; Computer security; Political science; Medicine; Programming language; Virology","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":[0.000971198,0.001567338,0.001189542,0.00381236,0.0004699023,0.00163609,0.002150244,0.001195115,0.05146103],"category_scores_gemma":[0.0056666,0.0007385841,0.0009033155,0.0084652,0.0003073191,0.0008633413,0.001407965,0.00122341,0.04548197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858865,"about_ca_system_score_gemma":0.002809353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07082476,"about_ca_topic_score_gemma":0.1025551,"domain_scores_codex":[0.9992604,0.0001195104,0.0001207056,0.000157994,0.0002006167,0.0001408049],"domain_scores_gemma":[0.9978623,0.0004846861,0.0003769852,0.0004292486,0.0005977986,0.0002491126],"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":[0.0000636473,0.00001622361,0.002118375,0.0003260266,0.00003730063,0.00001452476,0.00001513572,0.0002399452,0.00004117981,0.0004023444,0.9950821,0.001643121],"study_design_scores_gemma":[0.0004791312,0.00002724806,0.02555053,0.0002901316,0.00007098031,0.00007747811,0.0001042371,0.0006565372,0.0003425966,0.0009637551,0.9713988,0.00003857278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001329887,0.00002895805,0.00002244073,0.00003949579,0.0000113218,0.000004535814,0.9993013,0.0000802553,0.0003787367],"genre_scores_gemma":[0.0005483386,0.00005203695,0.00008758299,0.00003375926,0.000007930886,0.00003997833,0.9984519,0.00002480408,0.0007535761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.948539,"threshold_uncertainty_score":0.1721543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760683657393775,"score_gpt":0.287510534572618,"score_spread":0.2599036979986803,"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."}}