{"id":"W6969021074","doi":"10.5683/sp3/jyuo8e","title":"The AGRI National Project: Online Panel Study [Canada]","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; University of Lethbridge","funders":"","keywords":"Sample (material); Harm; Panel data; Longitudinal study; Data collection; Computer-assisted web interviewing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003389193,0.0004423777,0.0006030946,0.001780808,0.009728352,0.002610181,0.002267229,0.001112808,0.009724217],"category_scores_gemma":[0.004237475,0.001033627,0.0006124898,0.00508944,0.0007923726,0.001404787,0.001773018,0.002416297,0.00230718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0296815,"about_ca_system_score_gemma":0.0631077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899594,"about_ca_topic_score_gemma":0.9933898,"domain_scores_codex":[0.9978729,0.0003042181,0.00009871129,0.0003378786,0.0008295033,0.0005567683],"domain_scores_gemma":[0.9941104,0.0002445538,0.0004161901,0.0003572827,0.003323677,0.001547831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007045012,0.001840577,0.7739112,0.0004154174,0.0001600786,0.0005470159,0.0244325,0.0003372067,0.0006100712,0.002622611,0.1539108,0.04050802],"study_design_scores_gemma":[0.0001292194,0.000171621,0.9366993,0.0002422415,0.00005880056,0.0001332141,0.01414615,0.0005340712,0.0001864215,0.000288407,0.04732921,0.00008133978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7986284,0.0006861173,0.002172272,0.003706797,0.0001841622,0.0110584,0.1410887,0.0001209054,0.04235428],"genre_scores_gemma":[0.8353338,0.001705706,0.008585518,0.008964631,0.000124429,0.01658959,0.07442012,0.00017784,0.05409827],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0296815,"threshold_uncertainty_score":0.2153553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06314968754351684,"score_gpt":0.3184442120682456,"score_spread":0.2552945245247287,"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."}}