{"id":"W3182861818","doi":"10.33548/scientia700","title":"Developing Food Processing Methods Through Scientific and Engineering Solutions","year":2021,"lang":"en","type":"article","venue":"","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Food processing; Food science; Biology","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":[0.006881708,0.001414466,0.0008160982,0.001563297,0.001099236,0.003748297,0.001889452,0.002729618,0.005653552],"category_scores_gemma":[0.004698294,0.0008056018,0.001315705,0.0009197604,0.002025318,0.004001954,0.002479057,0.005174357,0.003501253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456743,"about_ca_system_score_gemma":0.003521085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007579637,"about_ca_topic_score_gemma":0.0009974308,"domain_scores_codex":[0.9966701,0.0004901367,0.0002088316,0.0003267107,0.002110614,0.0001936821],"domain_scores_gemma":[0.9968696,0.0008234894,0.0003181475,0.0003919197,0.001358015,0.0002388293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079577,0.0008457149,0.001347456,0.004405555,0.0001566662,0.0005514141,0.0008969304,0.01669711,0.1857598,0.2258565,0.02636101,0.537014],"study_design_scores_gemma":[0.0001071966,0.0008499531,0.0005686978,0.001333003,0.0001061336,0.000687164,0.0006426129,0.01958183,0.1023533,0.1218199,0.7518311,0.0001191727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01331104,0.03086133,0.8902014,0.01819834,0.002691344,0.0008619552,0.0002080988,0.0009941102,0.0426724],"genre_scores_gemma":[0.03844183,0.04978857,0.8956787,0.002665769,0.0007535176,0.0008249941,0.0003534174,0.0001966082,0.01129654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006881708,"threshold_uncertainty_score":0.03639442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097080401667071,"score_gpt":0.3727622028047108,"score_spread":0.2630541626380037,"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."}}