{"id":"W2361827402","doi":"","title":"Research on Multi-linear CCD Defect Inspection Based on Image Fusion","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Pixel; Fusion; Image fusion; Image (mathematics); Scheme (mathematics); Line (geometry); Sensor fusion; Mathematics","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":[0.0009597061,0.0003300929,0.0005772857,0.0009914213,0.0003095076,0.0005868314,0.0008207936,0.0006532587,0.001056515],"category_scores_gemma":[0.001268373,0.0003171793,0.000582792,0.0006118081,0.0004742334,0.001690002,0.0005461338,0.0003626412,0.0002841184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866354,"about_ca_system_score_gemma":0.0005089195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191484,"about_ca_topic_score_gemma":0.0008823108,"domain_scores_codex":[0.9986795,0.0001984869,0.00004642447,0.0002542223,0.0007494342,0.00007194273],"domain_scores_gemma":[0.999346,0.0002213651,0.00005683006,0.00008108778,0.0002666348,0.00002813939],"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":[0.0004397922,0.0001952091,0.00435777,0.0005486459,0.0001036988,0.0002718118,0.0005312375,0.02064717,0.2943597,0.01452094,0.001100414,0.6629235],"study_design_scores_gemma":[0.0001183842,0.001128587,0.00938131,0.00008360588,0.0001711,0.002051099,0.0001986426,0.5132408,0.4490012,0.004988262,0.01949702,0.0001400142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06564876,0.001893366,0.9258606,0.0002157684,0.00007092227,0.00009953439,0.00002562151,0.0005940089,0.005591473],"genre_scores_gemma":[0.5411258,0.001846363,0.4525989,0.0001339384,0.00008460833,0.00009374474,0.00007264947,0.00004162473,0.004002342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001191484,"threshold_uncertainty_score":0.005075514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833109569405892,"score_gpt":0.3797680337648454,"score_spread":0.3114369380707865,"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."}}