{"id":"W4408460337","doi":"10.21083/ruralreview.v6i1.6933","title":"Monitoring &amp; Measuring Food Loss and Waste in Canada","year":2022,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food waste; Environmental science; Business; Agricultural economics; Waste management; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003270389,0.0001710969,0.0002753179,0.00002611153,0.0004279343,0.00003589583,0.0001246305,0.0000209779,0.00006152281],"category_scores_gemma":[0.00003878099,0.00008611441,0.00002916643,0.0002950292,0.00002044207,0.00009867852,0.0001542467,0.0002608796,5.940839e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254099,"about_ca_system_score_gemma":0.0005638467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8451457,"about_ca_topic_score_gemma":0.9288553,"domain_scores_codex":[0.9987768,0.00008369766,0.0003235195,0.0001895242,0.0002671744,0.0003592672],"domain_scores_gemma":[0.999665,0.0000500293,0.00007864171,0.00004275099,0.00002347905,0.0001401317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002862722,0.00001734584,0.6996428,0.0002370338,0.00002077352,0.00001235239,0.001750878,0.0000295849,0.0002849867,0.00006147243,0.0002827448,0.2976314],"study_design_scores_gemma":[0.0001882886,0.0000747212,0.8443347,0.0007770578,0.000008563291,0.0000920013,0.01212029,0.000001767697,0.0001000676,0.00009478711,0.1418406,0.0003671969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820856,0.01501799,5.160118e-8,0.00237375,0.0001204048,0.0002417298,0.000004623056,0.00001477039,0.0001410448],"genre_scores_gemma":[0.9980483,0.0009928995,0.00003557726,0.0002918625,0.00008768215,0.00004439667,0.00002639867,0.000001234666,0.0004716468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2972642,"threshold_uncertainty_score":0.3511644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408861080530223,"score_gpt":0.2393434354686748,"score_spread":0.2052548246633725,"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."}}