{"id":"W2978026155","doi":"10.11575/prism/37171","title":"Food Waste at Grocers in the City of Calgary","year":2019,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Food waste; Environmental health; Geography; Food science; Medicine; Waste management; Engineering","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":[0.0004322446,0.0003310737,0.0004369779,0.00109281,0.008035495,0.001985746,0.001581882,0.00116003,0.01201243],"category_scores_gemma":[0.001200202,0.0006471873,0.0003494644,0.001930646,0.002061236,0.000678852,0.002600427,0.001720158,0.000588526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008931971,"about_ca_system_score_gemma":0.01132783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5813916,"about_ca_topic_score_gemma":0.8324106,"domain_scores_codex":[0.9992335,0.000112985,0.00002017898,0.0001021806,0.000136066,0.0003951667],"domain_scores_gemma":[0.9992822,0.00009245744,0.0001222252,0.00002166107,0.0001326189,0.0003489587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003812826,0.0008913494,0.8089337,0.001059324,0.0001383218,0.02275535,0.07608114,0.0005756746,0.002541803,0.001341123,0.01933722,0.0659637],"study_design_scores_gemma":[0.00002550413,0.0003947443,0.6987036,0.0002601727,0.00004276909,0.001496921,0.2874841,0.0001812731,0.0002798823,0.000270985,0.01079863,0.00006139281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941553,0.0004068621,0.0000442857,0.001674959,0.00003378715,0.0000745247,0.0002701206,0.00001044067,0.00332971],"genre_scores_gemma":[0.9874396,0.001365218,0.0004222731,0.001855474,0.0000389131,0.00006857062,0.0003292178,0.00001308064,0.008467563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186084,"threshold_uncertainty_score":0.8421474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009267482074771355,"score_gpt":0.1576711408012706,"score_spread":0.1484036587264992,"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."}}