{"id":"W3184661901","doi":"10.82308/44888","title":"An analysis of complementary products associated with unhealthy food purchases using household grocery sales data in Montréal, Canada","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Marketing","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":[0.00078917,0.000604216,0.0005128454,0.004119234,0.001538701,0.001474757,0.001577307,0.0003555847,0.004388318],"category_scores_gemma":[0.003112066,0.0003993415,0.0009164237,0.01170113,0.000481034,0.0004592142,0.0009120682,0.000574133,0.0006073528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02195138,"about_ca_system_score_gemma":0.02520314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997847,"about_ca_topic_score_gemma":0.9982818,"domain_scores_codex":[0.9990897,0.00006919619,0.00006143119,0.0001898629,0.0003195715,0.0002701918],"domain_scores_gemma":[0.9964345,0.0002987226,0.000507691,0.0001156056,0.002210897,0.0004325837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067125,0.00004476893,0.9806995,0.000120162,0.0002069563,0.0002052743,0.0003541101,0.0009964182,0.0002660156,0.0002485668,0.007456719,0.009294856],"study_design_scores_gemma":[0.00001156843,0.00001504137,0.9933782,0.00004827529,0.00004152944,0.00003313071,0.0006487744,0.002286685,0.00009910039,0.00002129976,0.0033978,0.00001855817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814556,0.001973912,0.001045096,0.0005861978,0.00003500983,0.0002230712,0.1763863,0.0001279871,0.005066404],"genre_scores_gemma":[0.9331826,0.00095046,0.001868515,0.0001604226,0.00001351882,0.0001166224,0.06005809,0.00003379718,0.003615973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195138,"threshold_uncertainty_score":0.1592692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05071451638958966,"score_gpt":0.2362768591411559,"score_spread":0.1855623427515662,"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."}}