{"id":"W1990189643","doi":"10.1002/latj.200790008","title":"Laser in der Materialbearbeitung – Eine Marktübersicht","year":2004,"lang":"de","type":"article","venue":"Laser Technik Journal","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002358,0.0007598953,0.0007792799,0.000747434,0.000251863,0.0008874529,0.0009142923,0.0006740054,0.001029209],"category_scores_gemma":[0.00008756214,0.0007652766,0.0002111793,0.0007357012,0.0001571597,0.0009875069,0.0002796533,0.001445711,0.0006475378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121896,"about_ca_system_score_gemma":0.0002422797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368844,"about_ca_topic_score_gemma":0.00004997163,"domain_scores_codex":[0.9962162,0.00011399,0.001254066,0.0005225778,0.0006242685,0.001268931],"domain_scores_gemma":[0.9984987,0.00003375742,0.0003098002,0.0006355867,0.0001455966,0.0003765367],"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":[0.001778449,0.003471565,0.004091165,0.00454687,0.003411022,0.02399314,0.003185516,0.0533045,0.7662892,0.002589589,0.1002012,0.03313779],"study_design_scores_gemma":[0.005181397,0.000390056,0.001025425,0.003956761,0.0005955048,0.001254399,0.00006950254,0.0007079822,0.909077,0.02774414,0.04793904,0.002058753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422144,0.008195245,0.02095978,0.003850948,0.01243211,0.001435894,0.0001666727,0.003659854,0.007085102],"genre_scores_gemma":[0.9588148,0.0009156334,0.03713314,0.0002951625,0.002116563,0.00004675817,0.000029582,0.0003078881,0.0003404477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427878,"threshold_uncertainty_score":0.999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006328508542979986,"score_gpt":0.2179592953388893,"score_spread":0.2116307867959093,"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."}}