{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007689519,0.000071651,0.00007149702,0.0002049487,0.0001741759,0.0002448668,0.00007407157,0.00006368338,0.00001428695],"category_scores_gemma":[0.00003191365,0.00006147189,0.00002100935,0.000378123,0.00003319765,0.002283128,0.0000171452,0.0001639478,0.00006434015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002358469,"about_ca_system_score_gemma":0.00002140462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007061225,"about_ca_topic_score_gemma":0.000001216676,"domain_scores_codex":[0.9993826,0.00001161877,0.0001811602,0.00008396913,0.0002193278,0.0001213672],"domain_scores_gemma":[0.9996294,0.00004605208,0.00003599377,0.0001358229,0.00008800836,0.00006473387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001364972,0.000005043994,0.00004581902,0.00002454008,0.000002335689,1.694674e-7,0.0002438225,0.2339677,0.02642434,0.000161956,0.000515793,0.7385948],"study_design_scores_gemma":[0.0001834989,0.0000620168,0.002325502,0.000009895835,9.402392e-7,0.000008245982,0.000008797073,0.9502108,0.03683049,0.00001600769,0.01026155,0.00008222988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2437661,9.991261e-7,0.748618,0.00001268355,0.002788329,0.00009996472,0.000001525929,0.0001301409,0.004582204],"genre_scores_gemma":[0.9917417,0.000001482029,0.007975189,0.0001656826,0.0001035323,0.000002257178,8.984384e-7,0.000002989075,0.000006303835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7479755,"threshold_uncertainty_score":0.2506751,"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."}}