{"id":"W2177753775","doi":"10.6000/1929-5634.2015.04.03.3","title":"Understanding Consumers’ Attitudes Toward Fruits and Vegetable Attributes: A Multi-Method Approach","year":2015,"lang":"en","type":"article","venue":"Journal of Nutritional Therapeutics","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Marketing; Psychology; Business; Biotechnology; Computer science; Advertising; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02141328,0.00072956,0.0007410739,0.004266895,0.001585089,0.002164807,0.001140703,0.0008798699,0.002893059],"category_scores_gemma":[0.03285507,0.0006962704,0.001226216,0.002445162,0.001119071,0.001816956,0.002336302,0.001150125,0.0002152357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074008,"about_ca_system_score_gemma":0.002170212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841827,"about_ca_topic_score_gemma":0.00777435,"domain_scores_codex":[0.9843332,0.01245542,0.0006273731,0.0009026602,0.001409089,0.0002723793],"domain_scores_gemma":[0.9596263,0.03240882,0.003256073,0.00163169,0.002635604,0.000441524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001461128,0.005574458,0.5037989,0.00201827,0.001516304,0.0004433296,0.1115799,0.005145177,0.008249238,0.00834883,0.001135607,0.3507288],"study_design_scores_gemma":[0.001101403,0.006717638,0.6721657,0.001653451,0.001326974,0.0009119895,0.1249078,0.1259423,0.008590491,0.04639585,0.009842618,0.0004437668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450093,0.0004696638,0.1442208,0.0005157903,0.00003132186,0.00531621,0.0003974152,0.00007772615,0.003961876],"genre_scores_gemma":[0.8089601,0.0002831597,0.1807633,0.0002219546,0.00001174829,0.008763851,0.0001587202,0.00001682473,0.0008202523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02141328,"threshold_uncertainty_score":0.1132456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3653093512469655,"score_gpt":0.3195455359395941,"score_spread":0.04576381530737139,"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."}}