{"id":"W4389611432","doi":"10.1016/j.foodqual.2023.105074","title":"Increasing intention to eat seaweeds through culinary workshops with a chef: A randomized controlled study on Quebec consumers","year":2023,"lang":"en","type":"article","venue":"Food Quality and Preference","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Cégep de la Gaspésie et des Îles; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Brown seaweed; Algae; Food science; Biology; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978776,0.0002588556,0.0008895377,0.0000334159,0.0003098882,0.0001680575,0.0002025075,0.00009791957,0.00005697231],"category_scores_gemma":[0.00071106,0.00009320919,0.000133903,0.0006501685,0.0001873238,0.0001748084,0.0001395595,0.0002133052,0.00003418234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003973777,"about_ca_system_score_gemma":0.00001927704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101729,"about_ca_topic_score_gemma":0.01523365,"domain_scores_codex":[0.9965568,0.001835017,0.0004117803,0.0005198873,0.0003629222,0.0003136306],"domain_scores_gemma":[0.9965221,0.002919369,0.000174075,0.0001063931,0.000144415,0.0001336409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7984098,0.001394598,0.05433295,0.00006456877,0.001520554,0.00002156309,0.01330788,0.00001263237,0.06994648,0.003017737,0.0001394241,0.05783183],"study_design_scores_gemma":[0.1074195,0.004857821,0.854528,0.0003069029,0.000224961,0.000008855041,0.02880456,0.00007586627,0.0007034946,0.001842144,0.0005019585,0.0007260031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942123,0.00007171961,0.00004393929,0.001978338,0.00007956287,0.002188931,0.00002598549,0.0001921791,0.001206998],"genre_scores_gemma":[0.998736,0.00002961417,0.00007992111,0.0004208327,0.00004192484,0.0003180484,0.00005015255,0.000001974782,0.0003215652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.800195,"threshold_uncertainty_score":0.9955685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589264708329844,"score_gpt":0.322088259298685,"score_spread":0.1631617884657005,"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."}}