{"id":"W2653459521","doi":"10.1109/ccece.2017.7946722","title":"Black Ice detection system using Kinect","year":2017,"lang":"en","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Remote sensing; Computer vision; Geology; Visibility; Computer science; Artificial intelligence; Computer graphics (images); Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004617606,0.001207174,0.001314216,0.001844365,0.0004687461,0.0007813452,0.001035875,0.0006962764,0.006563711],"category_scores_gemma":[0.0004045723,0.0005847948,0.0006101706,0.0009655433,0.0002042565,0.0009421943,0.001055828,0.0007102347,0.003105998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244561,"about_ca_system_score_gemma":0.0009144233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976324,"about_ca_topic_score_gemma":0.004260664,"domain_scores_codex":[0.9992829,0.00004167724,0.00005442792,0.0001740536,0.0003807209,0.00006625655],"domain_scores_gemma":[0.9997851,0.00001346761,0.00003391225,0.00001710571,0.0001114997,0.00003884975],"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":[0.002387402,0.0007849492,0.01600679,0.00219504,0.000284016,0.0009462454,0.0005998726,0.02150009,0.4873957,0.003522232,0.04455639,0.4198213],"study_design_scores_gemma":[0.0004263368,0.0007424862,0.08359469,0.0004445154,0.0002359887,0.001739772,0.0005350667,0.4033062,0.4111651,0.003305441,0.09397769,0.0005266982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1580094,0.002359394,0.7508357,0.0003861041,0.0008993444,0.001389482,0.02626258,0.03340631,0.02645168],"genre_scores_gemma":[0.5185032,0.001864849,0.4168195,0.0006457311,0.0001375174,0.00171772,0.0335841,0.001288311,0.02543898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006563711,"threshold_uncertainty_score":0.02195781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971869589906026,"score_gpt":0.2227035038031072,"score_spread":0.202984807904047,"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."}}