{"id":"W1970416379","doi":"10.1179/136217100101538218","title":"Selection of welding process to fabricate cruciform joints using analytic hierarchic process based on qualitative factors","year":2000,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Welding; Cruciform; Selection (genetic algorithm); Process (computing); Materials science; Manufacturing engineering; Mechanical engineering; Engineering drawing; Computer science; Engineering; Metallurgy; Artificial intelligence; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003464895,0.0007425984,0.0006906307,0.002314184,0.0009259705,0.001116265,0.0005746281,0.000378897,0.001357476],"category_scores_gemma":[0.006584193,0.0003166865,0.0009885747,0.001434114,0.000641219,0.0006790267,0.0007246265,0.000567778,0.0003048826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008046911,"about_ca_system_score_gemma":0.002749158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003122848,"about_ca_topic_score_gemma":0.004835771,"domain_scores_codex":[0.9970081,0.001097879,0.0002427745,0.0003520063,0.001126791,0.0001723047],"domain_scores_gemma":[0.9963048,0.001567002,0.000424738,0.0003293528,0.001274701,0.0000993913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006280703,0.0006623604,0.01840683,0.001320733,0.0002129888,0.0005695867,0.00362868,0.1516684,0.1299112,0.05771727,0.003937437,0.6313364],"study_design_scores_gemma":[0.0002483937,0.001493724,0.01514688,0.0002695167,0.0004857267,0.000449122,0.002807523,0.7820165,0.1182486,0.0550685,0.0235025,0.0002630467],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05724138,0.0001019533,0.9385,0.0000830612,0.00001334602,0.00048947,0.00007598421,0.0002401641,0.003254677],"genre_scores_gemma":[0.2095926,0.0001396231,0.7891469,0.00002561327,0.00001008567,0.0002095467,0.0001981026,0.00004292816,0.0006346075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003464895,"threshold_uncertainty_score":0.01832432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401516227640314,"score_gpt":0.3128975722699562,"score_spread":0.2888824099935531,"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."}}