{"id":"W6927185292","doi":"10.25959/25180583","title":"Developing quantitative tools for predicting foodborne pathogen behaviour in paneer","year":2023,"lang":"en","type":"dissertation","venue":"University of Tasmania","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food safety; Food safety management; Foodborne pathogen; Food processing; Food contaminant; Disease management; Salmonella; Traceability","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":[0.002588217,0.001606422,0.0009594872,0.003160511,0.0003503977,0.002349238,0.001185643,0.001011244,0.0222594],"category_scores_gemma":[0.0102732,0.0004452233,0.001229012,0.002144544,0.0003172516,0.001329383,0.001250058,0.001404762,0.004458743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939175,"about_ca_system_score_gemma":0.001013053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212628,"about_ca_topic_score_gemma":0.007030415,"domain_scores_codex":[0.9990205,0.0002858157,0.00005448419,0.0002792703,0.0002680798,0.00009200457],"domain_scores_gemma":[0.9960675,0.002022474,0.000718829,0.0001954829,0.0008821289,0.0001135555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001412816,0.0007988091,0.2163528,0.008220996,0.001353236,0.0006613967,0.0006891434,0.157253,0.02293301,0.01184472,0.09433008,0.4841501],"study_design_scores_gemma":[0.0002095761,0.001339251,0.09684425,0.0008520787,0.0007688502,0.0004977447,0.001373491,0.7660698,0.02329367,0.02623582,0.08211201,0.0004035331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2332115,0.009438314,0.5308827,0.00531743,0.001169177,0.002011664,0.1668009,0.02553497,0.02563339],"genre_scores_gemma":[0.667621,0.004538889,0.257762,0.001419929,0.0003261162,0.00179074,0.05565008,0.000962634,0.009928646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0222594,"threshold_uncertainty_score":0.07446504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042500064345237,"score_gpt":0.2604736744589658,"score_spread":0.2200486738155134,"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."}}