{"id":"W2897724063","doi":"10.2351/1.5061945","title":"Process optimization for improving drilling efficiency in EWT solar cell manufacturing","year":2010,"lang":"en","type":"article","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Osta Bio Technologies (Canada)","funders":"","keywords":"Wafer; Laser drilling; Common emitter; Laser; Drilling; Amplifier; Materials science; Laser beam machining; Laser power scaling; Mechanical engineering; Automotive engineering; Computer science; Process engineering; Optics; Optoelectronics; Engineering","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":[0.0004292506,0.0004519189,0.0005349653,0.0004297122,0.0002669705,0.000645418,0.0004081888,0.0003826102,0.0009276921],"category_scores_gemma":[0.0008157378,0.0003606523,0.0003713531,0.0006776533,0.0002417707,0.0005963396,0.0003029951,0.0004295413,0.0002825287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363473,"about_ca_system_score_gemma":0.0003991457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000479083,"about_ca_topic_score_gemma":0.001213557,"domain_scores_codex":[0.9996598,0.00002804341,0.0000319225,0.00006352139,0.0001750755,0.0000417212],"domain_scores_gemma":[0.9995539,0.0001438155,0.0001357891,0.00004671474,0.0001075445,0.0000120975],"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":[0.0001101036,0.00006532627,0.0004518371,0.0002441962,0.00001206843,0.00006553212,0.00005310127,0.01106635,0.9611843,0.0004480538,0.0001339326,0.0261652],"study_design_scores_gemma":[0.00002417982,0.0003922099,0.001936714,0.00001295365,0.00002942708,0.0001312379,0.00003647975,0.03487378,0.9597726,0.0002848511,0.002487573,0.00001810569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7881716,0.00327502,0.2036094,0.0001956963,0.00007345193,0.0001185955,0.0001639748,0.0006325123,0.003759665],"genre_scores_gemma":[0.8896509,0.001260614,0.1076511,0.0000250816,0.00001291249,0.00006232812,0.0001280342,0.00009092918,0.001118086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009276921,"threshold_uncertainty_score":0.003103435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004347147146846909,"score_gpt":0.2071324889200546,"score_spread":0.2027853417732077,"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."}}