{"id":"W7098380611","doi":"","title":"Article Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases","year":2012,"lang":"en","type":"article","venue":"","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Geographic information system; Field (mathematics); Matching (statistics); Information system; Food service; Location","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":[0.02631106,0.0003206774,0.0004034567,0.006399726,0.0009705016,0.002943503,0.001898117,0.0005859886,0.002157673],"category_scores_gemma":[0.1476718,0.0002532708,0.0004356686,0.01300532,0.0009852133,0.002186151,0.001776206,0.000298976,0.0008255937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004080039,"about_ca_system_score_gemma":0.003760534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1611893,"about_ca_topic_score_gemma":0.1361486,"domain_scores_codex":[0.9703466,0.01036435,0.005043332,0.002245325,0.01133666,0.000663752],"domain_scores_gemma":[0.7664357,0.0855483,0.03515241,0.02165154,0.08958974,0.001622196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001194648,0.0003289386,0.8978441,0.0006766042,0.0003371174,0.0001794853,0.003831738,0.002722075,0.002418713,0.001279619,0.005404601,0.0837823],"study_design_scores_gemma":[0.000178121,0.0004705936,0.9458637,0.0005088014,0.0001889719,0.0004375744,0.007140059,0.01751291,0.008447404,0.0006295767,0.01853795,0.00008439958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685771,0.0004602706,0.01175244,0.0004155618,0.00009996583,0.0007287085,0.009721991,0.0002735815,0.007970359],"genre_scores_gemma":[0.9738914,0.0001863565,0.0129372,0.0001367351,0.00003289933,0.000294221,0.01154992,0.00006692442,0.0009043167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611893,"threshold_uncertainty_score":0.320502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547050523909064,"score_gpt":0.2572438471760555,"score_spread":0.2025387947851491,"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."}}