{"id":"W4398347773","doi":"10.7910/dvn/iqkriy/4zefza","title":"mml-master.do","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; Psychology; Computer science; Computer security; Political science; Statistics; Mathematics; Programming language","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":["insufficient_payload"],"category_scores_codex":[0.00425993,0.001291764,0.001410633,0.003824431,0.0006088237,0.002885985,0.002642729,0.001210527,0.4229038],"category_scores_gemma":[0.02674164,0.00154185,0.001391841,0.005794659,0.0004966529,0.002322682,0.00291249,0.002109451,0.3459479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280972,"about_ca_system_score_gemma":0.002980347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007355764,"about_ca_topic_score_gemma":0.01126089,"domain_scores_codex":[0.9973589,0.0007320202,0.0004353331,0.0006170119,0.0004578741,0.000398794],"domain_scores_gemma":[0.9859281,0.006772591,0.001323918,0.003360313,0.001716111,0.0008990439],"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":[0.00005251827,0.00001355509,0.0009908377,0.0002266539,0.00002642328,0.000009138856,0.0000248065,0.0001606092,0.00004642112,0.0005441758,0.9948583,0.003046601],"study_design_scores_gemma":[0.0004982242,0.00003235112,0.005811198,0.0002513133,0.00004778003,0.00005055923,0.00007619821,0.0006135119,0.0007178125,0.002781479,0.9890752,0.0000443868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001084236,0.00001457903,0.0004437856,0.0001166665,0.00002290987,0.00003680748,0.9951187,0.002442903,0.001695188],"genre_scores_gemma":[0.001693148,0.00006108896,0.002785559,0.0002559438,0.00005930779,0.000774967,0.985232,0.003654325,0.005483686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5770962,"threshold_uncertainty_score":0.8231577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508331244951789,"score_gpt":0.2853970283636799,"score_spread":0.250313715914162,"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."}}