{"id":"W4399387582","doi":"10.1186/s40795-024-00889-z","title":"Knowledge mobilization between the food industry and public health nutrition scientists: findings from a case study","year":2024,"lang":"en","type":"article","venue":"BMC Nutrition","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Nutrition Society","keywords":"Thematic analysis; Context (archaeology); Public health; Food industry; Medicine; Product (mathematics); Public relations; Quality (philosophy); Marketing; Qualitative research; Population health; Population; Environmental health; Medical education; Business; Food science; Sociology; Political science; Nursing; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.021849,0.0006257479,0.0006017502,0.003058088,0.02499752,0.00799941,0.003411153,0.005527946,0.005449769],"category_scores_gemma":[0.02788413,0.0008665501,0.0006174381,0.003531046,0.01088147,0.005837392,0.01119987,0.004664625,0.000679734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01541267,"about_ca_system_score_gemma":0.02199873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04859321,"about_ca_topic_score_gemma":0.0790057,"domain_scores_codex":[0.9770082,0.01648062,0.0004948406,0.001011244,0.001906043,0.003099016],"domain_scores_gemma":[0.9532449,0.03633105,0.002605602,0.0009493305,0.003077404,0.003791735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005223299,0.0003391011,0.007504531,0.0002685322,0.00001101495,0.008487717,0.9699085,0.00005108085,0.0004197489,0.002054293,0.001681394,0.009221887],"study_design_scores_gemma":[0.00000855721,0.00005627619,0.002080211,0.0002299354,0.000008019398,0.0008619906,0.9857904,0.00008242628,0.0001739277,0.0002538405,0.01044294,0.00001147488],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678435,0.00105879,0.001655314,0.01093371,0.0001036225,0.0004230253,0.00008866721,0.00002025762,0.01787316],"genre_scores_gemma":[0.9898672,0.001375387,0.001509059,0.002231746,0.0000440275,0.0003237982,0.00005745763,0.00001870596,0.004572712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920006,"threshold_uncertainty_score":0.1155499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247881781886894,"score_gpt":0.3609437246145893,"score_spread":0.2361555464258999,"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."}}