{"id":"W2802494255","doi":"","title":"DECONSTRUCTING PUBLIC PERCEPTIONS OF NOVEL FOOD TECHNOLOGIES: HUMAN VALUES AND INFORMATION COMMUNICATION STRATEGIES","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Perception; Data science; Information and Communications Technology; Computer science; Psychology; World Wide Web; Neuroscience","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":[0.007924671,0.0003886422,0.000236213,0.001986648,0.002034635,0.01158179,0.0007770098,0.001851729,0.003028296],"category_scores_gemma":[0.01399433,0.0003842684,0.0003863738,0.0009269984,0.01542226,0.008436806,0.00322263,0.001772307,0.0002087525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004271342,"about_ca_system_score_gemma":0.00216166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00674345,"about_ca_topic_score_gemma":0.003873608,"domain_scores_codex":[0.9941223,0.003921724,0.0001458774,0.0003611833,0.0009970061,0.000451895],"domain_scores_gemma":[0.9819477,0.01355802,0.002278542,0.0008835682,0.0009704875,0.0003617532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001729053,0.0002862785,0.04595054,0.0003728172,0.00008531399,0.0005559893,0.5075139,0.001618297,0.003792509,0.3718826,0.001316753,0.06645203],"study_design_scores_gemma":[0.00007946714,0.0002924245,0.06929185,0.0007075756,0.0001080572,0.0005246339,0.5771981,0.006667705,0.003997305,0.2643575,0.0766189,0.0001565086],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8691285,0.0007914304,0.01400943,0.009396775,0.00004791468,0.00006187766,0.00004591346,0.00002427503,0.1064938],"genre_scores_gemma":[0.9979972,0.0002331748,0.0007403266,0.0002770691,0.00001575395,0.00001617571,0.00001053088,0.000006920664,0.0007029243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158179,"threshold_uncertainty_score":0.04191017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393946244434171,"score_gpt":0.2583615861307285,"score_spread":0.2244221236863868,"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."}}