{"id":"W6922028829","doi":"10.11575/prism/33266","title":"Healthy Food Looks Serious: How Children Interpret Packaged Food Products","year":2009,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Food products; Healthy food; Product (mathematics); Unhealthy food; Food processing; Food labeling; Food safety; Milk products","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001537834,0.0004939488,0.0002234081,0.0006214163,0.001610597,0.004124446,0.0005754308,0.001356156,0.01764895],"category_scores_gemma":[0.009052192,0.0003723843,0.0002620459,0.0004654247,0.00182923,0.002884576,0.001710634,0.001550054,0.003831568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159927,"about_ca_system_score_gemma":0.001802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04299169,"about_ca_topic_score_gemma":0.09472796,"domain_scores_codex":[0.9989004,0.0006239204,0.0000299339,0.00009135146,0.0002296527,0.0001247434],"domain_scores_gemma":[0.9980191,0.001098398,0.0002673454,0.00008668887,0.0003014935,0.0002270581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002539114,0.0002856295,0.06763632,0.0005699272,0.00004902027,0.002647506,0.6481801,0.0001282032,0.003681512,0.009675337,0.1509266,0.115966],"study_design_scores_gemma":[0.00007207666,0.0001977024,0.1232646,0.001270811,0.0001112535,0.001690242,0.5817181,0.0004886062,0.001772629,0.01129463,0.277973,0.0001464239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4961262,0.008242272,0.00400868,0.02110382,0.0004716257,0.0001776838,0.001342452,0.0005498189,0.4679775],"genre_scores_gemma":[0.8567164,0.007565132,0.008343841,0.005448389,0.00006638587,0.0002428697,0.0009793898,0.0003736491,0.1202639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04299169,"threshold_uncertainty_score":0.0854829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008108390270350155,"score_gpt":0.1866094096819298,"score_spread":0.1785010194115796,"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."}}