{"id":"W4399590134","doi":"10.1007/s10460-024-10592-1","title":"Between “better than” and “as good as”: mobilizing social representations of alternative proteins to transform meat and dairy consumption practices","year":2024,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Egg Farmers of Canada","keywords":"Consumption (sociology); Naturalization; Context (archaeology); Representation (politics); Sociology; Marketing; Business; Political science; Social science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008173034,0.0006443605,0.0002833807,0.00111137,0.01253346,0.01016765,0.001230116,0.004525782,0.0083395],"category_scores_gemma":[0.008204035,0.0003349111,0.0004193126,0.0006243682,0.02937822,0.008062803,0.01266665,0.007620543,0.0005671919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003076927,"about_ca_system_score_gemma":0.004325758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005222505,"about_ca_topic_score_gemma":0.008899326,"domain_scores_codex":[0.9913632,0.006669424,0.0000931539,0.0004515957,0.0005303968,0.0008923297],"domain_scores_gemma":[0.9942763,0.002881711,0.000777472,0.0003633016,0.0003601639,0.001341019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001130624,0.0002975312,0.003816929,0.00007555811,0.00002631704,0.0003293287,0.8703259,0.0001137545,0.001637042,0.1033137,0.003414471,0.01653638],"study_design_scores_gemma":[0.00007127902,0.0001524513,0.003577136,0.000215687,0.0000483239,0.0002256123,0.807266,0.0004821257,0.0007476342,0.07447822,0.1126735,0.00006203137],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7621905,0.0009725556,0.01100695,0.06837548,0.0009347679,0.00006821064,0.00003272998,0.0000588532,0.15636],"genre_scores_gemma":[0.9898252,0.000198961,0.00165342,0.003577525,0.0000655519,0.00003196192,0.00001276467,0.0000345079,0.004600121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253346,"threshold_uncertainty_score":0.04322368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390491776384868,"score_gpt":0.3156385813996044,"score_spread":0.2917336636357557,"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."}}