{"id":"W6957559007","doi":"10.6068/dp14ba831dab881","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Health - Mental Health and Well-Being | Country: Canada | Table: Health indicator profile, by linguistic characteristic (mother tongue, first official language spoken) | Variable: Mood disorder, Mother tongue, French, Both sexes | Units: %, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-115.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Official statistics; Census; Economic statistics; Socioeconomic status; Health indicator; Social statistics; Summary statistics","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":[0.00255907,0.002424827,0.002843377,0.007518925,0.003553549,0.005207866,0.00514297,0.001688536,0.1132481],"category_scores_gemma":[0.02362611,0.001800373,0.002511344,0.04152313,0.0007250583,0.002447666,0.002717188,0.003438511,0.06258275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06113578,"about_ca_system_score_gemma":0.1517821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953071,"about_ca_topic_score_gemma":0.9938018,"domain_scores_codex":[0.9951717,0.0003291671,0.000560883,0.0005282662,0.00234953,0.001060428],"domain_scores_gemma":[0.9579777,0.001847671,0.001051874,0.001107448,0.03602502,0.001990346],"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":[0.00002233326,0.000006686598,0.0007873293,0.0002901598,0.0000186026,0.000005008413,0.00001934669,0.00009140948,0.000007765679,0.0002333373,0.9971032,0.001414798],"study_design_scores_gemma":[0.0002511877,0.00001619004,0.02875993,0.001195586,0.0001001055,0.00002957766,0.000568541,0.0004616014,0.0001753265,0.0006650339,0.9676626,0.0001143364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003831062,0.00004957342,0.00001754053,0.0001233214,0.00002655682,0.00001499191,0.9989461,0.00004811176,0.0007354924],"genre_scores_gemma":[0.0009098792,0.0003706091,0.0004434261,0.0002346168,0.0000240202,0.0001714502,0.9937895,0.0001163029,0.003940141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1132481,"threshold_uncertainty_score":0.4435732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143405324111799,"score_gpt":0.2547037343683333,"score_spread":0.2403632019571534,"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."}}