{"id":"W1988211318","doi":"10.1080/1065657x.2008.10702364","title":"Development of Time-Temperature Probes for Tracking Pathogen Inactivation During Composting","year":2008,"lang":"en","type":"article","venue":"Compost Science & Utilization","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Environmental Protection Agency","keywords":"Compost; Tracking (education); Particle (ecology); Process (computing); Environmental science; Phase (matter); Pathogen; Materials science; Process engineering; Waste management; Computer science; Chemistry; Biology; Microbiology; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005280745,0.0001571445,0.0001977162,0.00006727396,0.001518226,0.00006011759,0.0003958941,0.00006786291,0.00001165844],"category_scores_gemma":[0.0002513563,0.00008304803,0.00005237714,0.0008659589,0.000202402,0.000373303,0.0001227571,0.00008360027,0.000002436661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008489702,"about_ca_system_score_gemma":0.00007683675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145254,"about_ca_topic_score_gemma":0.00001001678,"domain_scores_codex":[0.9984971,0.00003352142,0.000411666,0.0003930076,0.0003626216,0.0003020665],"domain_scores_gemma":[0.9989215,0.0001571808,0.0002654959,0.00008098692,0.0005052789,0.00006957978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003061305,0.00007333532,0.005536211,0.00002233905,0.000002055494,5.443806e-7,0.000546916,0.00003931114,0.9795249,0.00004518318,0.00001111623,0.01416755],"study_design_scores_gemma":[0.0001168064,0.00008505442,0.1614783,0.0001457571,0.000003769454,0.00002319152,0.000087393,0.002532632,0.8349088,0.00004631091,0.0003960429,0.0001759418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986196,0.00003143453,0.0003350136,0.00006284555,0.00006780075,0.0004755738,0.00001580337,0.0002476262,0.0001442674],"genre_scores_gemma":[0.9855644,0.000006461506,0.01414233,0.00001837417,0.00007410362,0.00002081489,0.0001457588,0.000002370339,0.00002543744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559421,"threshold_uncertainty_score":0.9997817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08162139049065911,"score_gpt":0.2757750410510371,"score_spread":0.1941536505603779,"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."}}