{"id":"W4240325074","doi":"10.1037/e622972012-001","title":"Speech for the Honourable Leona Aglukkaq, Minister of Health for the Funding for Brain Canada","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Public administration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01430917,0.0003708909,0.0007373874,0.00008351894,0.002552846,0.0000491781,0.001855091,0.0003504565,0.001912335],"category_scores_gemma":[0.0116,0.000202884,0.0001654606,0.0001683057,0.0001718456,0.0001789691,0.0002393721,0.001321519,0.00005557157],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345826,"about_ca_system_score_gemma":0.006388172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3358067,"about_ca_topic_score_gemma":0.6858729,"domain_scores_codex":[0.9946816,0.0009038177,0.00121486,0.0005051562,0.0008445263,0.001850042],"domain_scores_gemma":[0.9277235,0.0686679,0.001257489,0.001668839,0.0001979831,0.0004843193],"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":[0.0006087641,0.00006834706,0.000005809119,0.004869253,0.0002306579,7.772779e-7,0.00005016188,2.548173e-7,0.000002261941,0.00008925227,0.9787974,0.01527709],"study_design_scores_gemma":[0.001227077,0.0002452041,0.00003077682,0.0003087531,0.0001971376,0.000002963896,0.00103365,0.0000607346,0.000002594071,0.0001305667,0.9965464,0.0002141692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[9.367824e-7,0.005203263,0.00220926,0.09119736,0.002435911,0.007765741,0.8911619,0.000007102539,0.00001858831],"genre_scores_gemma":[0.00000794677,0.001635781,0.0007676589,0.02141392,0.001857803,0.003501811,0.969755,0.00004352487,0.00101657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3500661,"threshold_uncertainty_score":0.9992447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3618529222168394,"score_gpt":0.5660784581220715,"score_spread":0.2042255359052321,"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."}}