{"id":"W6926399240","doi":"10.25318/1810001001-eng","title":"Consumer Price Index (CPI), seasonally adjusted, 1996 basket content","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Commodity; Index (typography); Price index; Food supply; Sample (material)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007219769,0.001484354,0.00119799,0.004566989,0.0006450557,0.001844425,0.002033541,0.0009282022,0.04523761],"category_scores_gemma":[0.005484562,0.0005719531,0.0007906209,0.01527016,0.0003086222,0.00108413,0.0008390269,0.001701057,0.06041757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00377965,"about_ca_system_score_gemma":0.004557479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3475521,"about_ca_topic_score_gemma":0.3947546,"domain_scores_codex":[0.9992132,0.00005797148,0.0001026922,0.0001987697,0.0002988156,0.0001284222],"domain_scores_gemma":[0.9966041,0.000341405,0.0004063568,0.0003880546,0.002037325,0.0002227843],"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":[0.00004517462,0.00002236381,0.00268549,0.000193351,0.00001928043,0.00001182135,0.0000120286,0.000207874,0.00003922919,0.0002664354,0.9947329,0.001764165],"study_design_scores_gemma":[0.0001914349,0.00002383333,0.05191636,0.0002230598,0.00003581377,0.00004610285,0.0001589109,0.0006558627,0.000273012,0.0005476842,0.9458864,0.00004152798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001581746,0.00001776485,0.00001191902,0.00001943294,0.000008816511,0.000004217636,0.9994044,0.0000311277,0.0003440657],"genre_scores_gemma":[0.0004435886,0.00003337554,0.00005919322,0.00001302096,0.000004321083,0.00002451642,0.9987025,0.00001248667,0.0007069501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6524479,"threshold_uncertainty_score":0.6910582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236405591841718,"score_gpt":0.2933887989682136,"score_spread":0.2697482397840418,"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."}}