{"id":"W2809810465","doi":"10.1080/15528014.2018.1478173","title":"Good apples: behind every bite","year":2018,"lang":"en","type":"article","venue":"Food Culture & Society","topic":"Educational Leadership and Practices","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Pierre Elliott Trudeau Foundation","keywords":"Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.007266375,0.0008335182,0.001013689,0.001276665,0.009190314,0.01649208,0.001266123,0.009478444,0.03076459],"category_scores_gemma":[0.02063645,0.0004439563,0.0005631163,0.001038445,0.02451601,0.02548421,0.007956698,0.01766926,0.00770648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074268,"about_ca_system_score_gemma":0.004720446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006113245,"about_ca_topic_score_gemma":0.01487906,"domain_scores_codex":[0.9941286,0.002405101,0.0001677743,0.0006492072,0.001790113,0.0008592538],"domain_scores_gemma":[0.9871897,0.004318478,0.0007069158,0.00137645,0.003295954,0.003112564],"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":[0.0001515477,0.000162732,0.004375278,0.0003053384,0.00006989034,0.0003777858,0.01978575,0.00007279806,0.0005604095,0.2581238,0.5550717,0.160943],"study_design_scores_gemma":[0.00003535433,0.00006439679,0.001984193,0.0008645476,0.00003922069,0.0003519082,0.04261099,0.00008632862,0.0003611147,0.1504211,0.8031204,0.00006041746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01090605,0.02134389,0.001999335,0.8472414,0.009844371,0.00001685007,0.00006507259,0.0001614514,0.1084216],"genre_scores_gemma":[0.4646355,0.02020824,0.005110405,0.3306793,0.01250073,0.00006324389,0.0001233454,0.000921372,0.1657578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03076459,"threshold_uncertainty_score":0.1029178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05475797552974539,"score_gpt":0.3532306224526995,"score_spread":0.2984726469229542,"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."}}