{"id":"W6901512428","doi":"10.6068/dp14ba87ece8649","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Fruit and vegetable consumption, not stated, Males, Non-Aboriginal | Units: , 2000-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-114.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Official statistics; Health statistics; Social statistics; Community health; Economic statistics; General Social Survey; 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":[0.002652875,0.002567426,0.003059019,0.007090685,0.003291778,0.004550497,0.006025169,0.001703946,0.1117533],"category_scores_gemma":[0.02104862,0.001957975,0.002439932,0.03582836,0.0006324581,0.002322513,0.002392574,0.003244956,0.06550267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04612359,"about_ca_system_score_gemma":0.1100523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930689,"about_ca_topic_score_gemma":0.9907911,"domain_scores_codex":[0.9962794,0.0003427808,0.000465767,0.0005192368,0.001564612,0.0008281399],"domain_scores_gemma":[0.9743075,0.001388478,0.0008470642,0.001058791,0.02093925,0.001459006],"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":[0.00002540517,0.000005166539,0.0007140997,0.0002536485,0.00002053108,0.000005592821,0.00001901072,0.0001017642,0.000007539109,0.0002727266,0.9971753,0.001399173],"study_design_scores_gemma":[0.000271062,0.00001460186,0.02068694,0.001115366,0.00008959808,0.00003126,0.0004407368,0.0006075848,0.0001523815,0.0009385783,0.9755452,0.0001065322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003085368,0.00003460042,0.00002320604,0.00009988179,0.00002292263,0.00001383989,0.9991468,0.00005773343,0.0005700944],"genre_scores_gemma":[0.0006112923,0.0002058147,0.0004264855,0.0001513446,0.00001499314,0.0001566498,0.995672,0.0001208683,0.00264059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1117533,"threshold_uncertainty_score":0.3738521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600108274908122,"score_gpt":0.3015069920457097,"score_spread":0.2655059092966285,"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."}}