{"id":"W2909010884","doi":"10.47339/ephj.2018.53","title":"Aerobic colony count assessment on projector remote controls at BCIT major classrooms","year":2018,"lang":"en","type":"article","venue":"BCIT Environmental Public Health Journal","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bacterial colony; Sanitation; Plate count; Projector; Veterinary medicine; Schedule; Medicine; Microbiology; Environmental science; Toxicology; Computer science; Biology; Environmental engineering; Bacteria; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003158127,0.0005956781,0.000407914,0.001346569,0.0006076918,0.0008841605,0.0004392335,0.0003127023,0.003798831],"category_scores_gemma":[0.001090661,0.0002592764,0.000236368,0.0006782209,0.000478481,0.0002933821,0.000722803,0.0004074133,0.0006168939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006520064,"about_ca_system_score_gemma":0.0004906759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746656,"about_ca_topic_score_gemma":0.02556411,"domain_scores_codex":[0.9986021,0.00009792853,0.00008508291,0.0002488056,0.00076689,0.000199186],"domain_scores_gemma":[0.9986069,0.0001120624,0.0003557154,0.00004803656,0.0006848726,0.000192536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008414754,0.0007010022,0.5875755,0.0003780264,0.00007792026,0.002760149,0.006883868,0.0005258081,0.3331051,0.0001052441,0.00111133,0.06593454],"study_design_scores_gemma":[0.000006017623,0.001546913,0.949708,0.0000526599,0.00004163549,0.0006916738,0.003912958,0.000386175,0.04197178,0.00002398482,0.001629327,0.00002894186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971792,0.000152606,0.0003320423,0.00002226773,0.000007107928,0.00005281326,0.0002166612,0.0000265503,0.002010783],"genre_scores_gemma":[0.9948375,0.0002787832,0.0008075222,0.00003232284,0.000006914422,0.00003810567,0.0002640974,0.00001197494,0.00372283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746656,"threshold_uncertainty_score":0.03472978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000935711297008,"score_gpt":0.2588303175056718,"score_spread":0.2388209603927017,"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."}}