{"id":"W4384524036","doi":"10.1111/1750-3841.16693","title":"Food Technology Neophobia Scales in cross‐national context: Consumers’ acceptance of food technologies between Chinese and New Zealand","year":2023,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New Zealand Food Safety Science and Research Centre; Hebei Agricultural University","keywords":"Neophobia; Marketing; Context (archaeology); Business; Perception; Likert scale; Novel food; Scale (ratio); Food technology; Emerging technologies; Consumer behaviour; Quality (philosophy); China; Psychology; Geography; Food science","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":[0.001340792,0.0003381783,0.0003441212,0.000831701,0.0008087669,0.0006900122,0.0002454596,0.0004081727,0.00172405],"category_scores_gemma":[0.002859192,0.0002589078,0.0008946979,0.0008169478,0.0009372731,0.000622609,0.0009963328,0.0007241599,0.0001177682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214735,"about_ca_system_score_gemma":0.001255455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07556852,"about_ca_topic_score_gemma":0.07961787,"domain_scores_codex":[0.9993497,0.00009445044,0.00008692498,0.0001013232,0.0002614803,0.000106152],"domain_scores_gemma":[0.9983174,0.0002587386,0.0006947306,0.00007402622,0.0003146557,0.0003404079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287814,0.0001710973,0.9751661,0.00007725556,0.0000868795,0.0002372078,0.0136864,0.00004800445,0.001589893,0.00008313954,0.0002041665,0.008521035],"study_design_scores_gemma":[0.000008270585,0.00006932766,0.994159,0.00001189232,0.00001697781,0.00007259506,0.005087441,0.0001328691,0.0001046552,0.00002503197,0.000302816,0.000009260249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994428,0.00002529711,0.00003045547,0.00004250268,0.000002622677,0.00001375839,0.00002217391,6.084879e-7,0.0004197886],"genre_scores_gemma":[0.9994382,0.00004992367,0.00008831356,0.00003249438,0.000001897141,0.00002721462,0.00005737724,8.458412e-7,0.0003036649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07556852,"threshold_uncertainty_score":0.1502573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931683257012927,"score_gpt":0.336412985930736,"score_spread":0.2970961533606068,"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."}}