{"id":"W7049193583","doi":"","title":"2014 Nutrition country profile: Canada","year":2014,"lang":"en","type":"other","venue":"IFPRI E-brary (International Food Policy Research Institute)","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrition transition; Intervention (counseling); Nutrition information; Food supply; Anthropometry; Malnutrition","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":[0.0006538426,0.0008102256,0.0005386565,0.007887748,0.002581562,0.00276745,0.00132696,0.0006910454,0.07819249],"category_scores_gemma":[0.002267356,0.00048893,0.0006474119,0.02091587,0.0003514401,0.0007615145,0.0009794212,0.0008554946,0.02581579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0222973,"about_ca_system_score_gemma":0.07714202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867495,"about_ca_topic_score_gemma":0.9932432,"domain_scores_codex":[0.999052,0.00002685544,0.00005208551,0.000087146,0.000509245,0.0002726619],"domain_scores_gemma":[0.9947272,0.00007661172,0.0001782737,0.00009113923,0.004270311,0.000656476],"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":[0.0000662853,0.00002635111,0.008507193,0.0002524485,0.00001489959,0.00005277302,0.00005647438,0.0002111589,0.00009570331,0.001053808,0.9705047,0.01915825],"study_design_scores_gemma":[0.00002525937,0.00001148812,0.07570171,0.0002014975,0.00001583074,0.0000651852,0.0002354867,0.0002560407,0.000216258,0.0002266498,0.9230055,0.00003901636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003829132,0.0006745802,0.000219923,0.001046712,0.0001568446,0.0001559116,0.9062368,0.0003476068,0.08733249],"genre_scores_gemma":[0.02074647,0.002839352,0.002379931,0.001032847,0.00008848649,0.0002427525,0.7387235,0.0003604715,0.2335862],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07819249,"threshold_uncertainty_score":0.2615799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02950976403067689,"score_gpt":0.321962970594064,"score_spread":0.2924532065633871,"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."}}