{"id":"W7093648404","doi":"","title":"Food deserts in Winnipeg, Canada: a novel method for\\nmeasuring a complex and contested construct","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Construct (python library); Natural (archaeology); Food supply; Food security","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":[0.00046144,0.0004104585,0.0003449902,0.00445984,0.002190116,0.001967718,0.001107665,0.0003683796,0.006801003],"category_scores_gemma":[0.00248428,0.0002184906,0.0004002898,0.008567973,0.0006025726,0.0004585926,0.0014205,0.0002993229,0.0005048894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005505805,"about_ca_system_score_gemma":0.01508851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9321012,"about_ca_topic_score_gemma":0.9838748,"domain_scores_codex":[0.9996969,0.00003155534,0.00001741907,0.00008085041,0.0001109968,0.00006246707],"domain_scores_gemma":[0.9993321,0.0001447183,0.00008460918,0.00003603243,0.0003215655,0.00008103386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006436373,0.00009288025,0.3262425,0.002597707,0.0004524605,0.002390601,0.01911745,0.01913348,0.01104303,0.04512675,0.09071779,0.4824418],"study_design_scores_gemma":[0.00008558056,0.00006579122,0.5535234,0.0006509269,0.0003723812,0.000567242,0.05293828,0.03745458,0.004462589,0.01317045,0.3365457,0.000163155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6780968,0.004160423,0.1065502,0.001555902,0.000225759,0.001588744,0.07207849,0.002162891,0.1335809],"genre_scores_gemma":[0.8164586,0.00154806,0.1451493,0.0001250617,0.00001748921,0.0004675495,0.01476976,0.0003085605,0.02115554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06789881,"threshold_uncertainty_score":0.1365973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06555332872158774,"score_gpt":0.2730405899948644,"score_spread":0.2074872612732766,"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."}}