{"id":"W7037522440","doi":"","title":"Early Flame Detection System Using Real-Time Machine-Vision and Image Analysis","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire detection; Warning system; Fire protection; Fire control; Internet of Things; Capital city; Capital cost; Security system","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":[0.0006659013,0.0009326124,0.001089129,0.00204226,0.0005729369,0.001002344,0.00143605,0.0009686236,0.002803645],"category_scores_gemma":[0.0007813947,0.0004377131,0.0007918057,0.0007026001,0.0002501186,0.001288791,0.0006264198,0.0007145031,0.001655645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899104,"about_ca_system_score_gemma":0.0007958349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180773,"about_ca_topic_score_gemma":0.003277421,"domain_scores_codex":[0.9992853,0.00003941174,0.00004071146,0.0001963698,0.0003493504,0.00008882664],"domain_scores_gemma":[0.9996156,0.00003911978,0.0000439446,0.00003314741,0.0002348992,0.00003325773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008810916,0.0007712941,0.004816046,0.0003372138,0.0001203074,0.0003363947,0.0001276598,0.009735366,0.171086,0.001154774,0.009264275,0.8013695],"study_design_scores_gemma":[0.0001368662,0.0007602673,0.01225393,0.00004920139,0.0001547965,0.0007091635,0.00007864115,0.7538335,0.2185842,0.001076084,0.0121998,0.0001634647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297847,0.001563085,0.8406433,0.0003412273,0.0006348896,0.0005149087,0.0006878288,0.01758701,0.008242975],"genre_scores_gemma":[0.6010213,0.001232581,0.3819931,0.0004323999,0.0002011809,0.000425335,0.001465036,0.0002064534,0.01302264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003180773,"threshold_uncertainty_score":0.009379148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003387844421937739,"score_gpt":0.2022026908319833,"score_spread":0.1988148464100455,"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."}}