{"id":"W6981782975","doi":"","title":"Exploring sales data during a healthy corner store\\nintervention in Toronto: the Food Retail Environments\\nShaping Health (FRESH) project","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Retail sales; Health food; Food supply; Data collection; Food labeling","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":[0.001366613,0.00042225,0.0004625236,0.002256979,0.001620728,0.002059675,0.0009549637,0.000939084,0.008867713],"category_scores_gemma":[0.006205469,0.0004310267,0.0004267042,0.006750183,0.000476225,0.0008075467,0.001726694,0.0008343367,0.00198941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007326825,"about_ca_system_score_gemma":0.01124998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9274756,"about_ca_topic_score_gemma":0.9727073,"domain_scores_codex":[0.9992804,0.0001092526,0.00007376244,0.00009198604,0.0002441621,0.0002003989],"domain_scores_gemma":[0.9929981,0.001331592,0.00114064,0.0004046313,0.002898823,0.00122616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000776614,0.0002215278,0.6391115,0.001373315,0.0003631664,0.001571811,0.01577544,0.0010675,0.0009382057,0.001370523,0.2936702,0.04376027],"study_design_scores_gemma":[0.00002376877,0.00004491414,0.9453218,0.0002777016,0.00008038525,0.00005266286,0.01537416,0.0004824988,0.000195506,0.00009536731,0.03801909,0.00003223025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6900652,0.002263865,0.0004843654,0.005014789,0.0001516626,0.0002432651,0.2878964,0.0001575785,0.01372284],"genre_scores_gemma":[0.8014571,0.002719898,0.001548506,0.000760096,0.0001070959,0.0002781735,0.1722317,0.0001899743,0.02070738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07252437,"threshold_uncertainty_score":0.1459029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3669353571086975,"score_gpt":0.2805343593255538,"score_spread":0.08640099778314364,"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."}}