{"id":"W2375676930","doi":"","title":"Fast Algorithm for Edge Detection","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Edge detection; Enhanced Data Rates for GSM Evolution; Algorithm; Image (mathematics); Image processing; Detector; Computer vision; Artificial intelligence; Factor (programming language); Telecommunications","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":[0.00113653,0.001325816,0.001288819,0.002970569,0.00106875,0.001669414,0.002291102,0.00225167,0.01319403],"category_scores_gemma":[0.003363691,0.0007337351,0.001066912,0.002364123,0.0007169378,0.002448592,0.001632131,0.002005128,0.008782599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005766785,"about_ca_system_score_gemma":0.0009262232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021052,"about_ca_topic_score_gemma":0.0009730417,"domain_scores_codex":[0.9987399,0.0001758784,0.00007066156,0.0002269531,0.000650096,0.0001364766],"domain_scores_gemma":[0.9984431,0.0004042348,0.00007150426,0.0002951568,0.0007378046,0.00004821947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003342531,0.00008737326,0.0004533369,0.0002720015,0.0001001604,0.0001272717,0.0001071546,0.02290924,0.03134487,0.04388695,0.02417973,0.8761977],"study_design_scores_gemma":[0.000161502,0.0003098488,0.00101913,0.000093179,0.00008087846,0.001039742,0.00006603248,0.7746561,0.06651175,0.06108923,0.0948147,0.0001579603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001157782,0.0003416341,0.9957616,0.00005927912,0.0001268996,0.00005112549,0.00007128979,0.001332388,0.00109789],"genre_scores_gemma":[0.01811589,0.0003235147,0.9760754,0.00009949906,0.00009373995,0.0001857574,0.0003952741,0.0002252974,0.004485664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01319403,"threshold_uncertainty_score":0.04413843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00433415752108477,"score_gpt":0.2082274111079296,"score_spread":0.2038932535868448,"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."}}