{"id":"W2129403787","doi":"10.5539/cis.v3n2p163","title":"Solder Joints Detection Method Based on Surface Recovery","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soldering; Computer science; Artificial intelligence; Computer vision; Process (computing); Materials science; Composite material","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":[0.0003989759,0.0006490409,0.0007695657,0.001508979,0.000189352,0.0005022584,0.000681499,0.0006613898,0.001122641],"category_scores_gemma":[0.001052575,0.0003424392,0.0007679248,0.0005969182,0.0004495037,0.0009515601,0.0005395634,0.0005704413,0.0008355105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652897,"about_ca_system_score_gemma":0.000340493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007150011,"about_ca_topic_score_gemma":0.0007093205,"domain_scores_codex":[0.9993823,0.00008228426,0.00002052672,0.0001341938,0.0003382067,0.00004251442],"domain_scores_gemma":[0.99941,0.0001144154,0.00006784689,0.0001104761,0.0002712235,0.00002596526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001479668,0.00007301337,0.001876474,0.0002027936,0.00006431307,0.0001212092,0.0001304993,0.01338962,0.5010944,0.001996042,0.00127479,0.4796288],"study_design_scores_gemma":[0.00003479467,0.0003038014,0.004686043,0.00001710731,0.0000726382,0.0008895579,0.00006384126,0.5612928,0.4255596,0.001727331,0.005278789,0.0000736866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06161286,0.0003339827,0.9343555,0.00007317896,0.00004405025,0.00003797792,0.00003677297,0.002073506,0.001432227],"genre_scores_gemma":[0.4926878,0.0004070118,0.5032439,0.00006067177,0.00004962882,0.00004906761,0.0001703928,0.0002358932,0.003095591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001508979,"threshold_uncertainty_score":0.003755629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065551560463672,"score_gpt":0.2359998032423919,"score_spread":0.2253442876377552,"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."}}