{"id":"W6940086456","doi":"10.6084/m9.figshare.25989186","title":"Additional file 1 of Knowledge mobilization between the food industry and public health nutrition scientists: findings from a case study","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Food industry; Mobilization; Public health; Food processing; Food safety","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002993996,0.0003624665,0.0005947996,0.002949163,0.001658915,0.001773587,0.001674444,0.001271052,0.8403089],"category_scores_gemma":[0.05951472,0.0002593577,0.0003377866,0.005247345,0.0004119704,0.002312482,0.00134628,0.0007604071,0.07184526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236222,"about_ca_system_score_gemma":0.004428573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147834,"about_ca_topic_score_gemma":0.03525828,"domain_scores_codex":[0.9988545,0.0005100552,0.0001933038,0.0001363066,0.0001911217,0.0001147206],"domain_scores_gemma":[0.8950724,0.09387629,0.001966707,0.001413026,0.006023656,0.001647803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001923336,0.000272814,0.005280244,0.003124603,0.00001862914,0.0004217474,0.002185136,0.0002173507,0.00004186068,0.002898187,0.9609041,0.024443],"study_design_scores_gemma":[0.001795005,0.0003029129,0.06065283,0.009469289,0.0001403474,0.002384909,0.02869858,0.001419064,0.0004833085,0.02664486,0.8678031,0.0002058829],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00395492,0.0001255521,0.0008761197,0.001782683,0.0001237913,0.0007191213,0.9772052,0.0001858912,0.01502664],"genre_scores_gemma":[0.1414686,0.001258689,0.02431477,0.00463921,0.0003874549,0.02060197,0.7128648,0.0006738877,0.09379061],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8403089,"threshold_uncertainty_score":0.2277799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228262095808221,"score_gpt":0.3281974483324687,"score_spread":0.2759148273743864,"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."}}