{"id":"W1503321648","doi":"10.1007/978-3-319-65136-1_141","title":"A Thermal-Mechanical Approach for the Design of Busbars Details","year":2003,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Busbar; Thermal; Thermal expansion; Electrical conductor; Flexibility (engineering); Mechanical engineering; Welding; Engineering; Structural engineering; Materials science; Electrical engineering; Composite material; Physics; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.001248685,0.0008750909,0.001605108,0.0001456367,0.0002102394,0.0002329629,0.0009203406,0.0004808486,0.0007266086],"category_scores_gemma":[0.00006980662,0.0005167133,0.0005330279,0.00009459991,0.0002927844,0.0001761921,0.000125594,0.0002748236,0.00002920595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006363552,"about_ca_system_score_gemma":0.00003674865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005620892,"about_ca_topic_score_gemma":0.00001132168,"domain_scores_codex":[0.9971738,0.0001812581,0.001142273,0.000509391,0.0004399655,0.0005533113],"domain_scores_gemma":[0.9976564,0.0004268281,0.0004399873,0.001231819,0.0001659823,0.00007899617],"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":[0.0001226842,0.000007665424,1.419977e-7,0.0003818275,0.001981021,0.000003030151,0.000111789,0.02375847,0.9551812,0.01629265,0.00192808,0.0002314032],"study_design_scores_gemma":[0.0006277338,0.0001874679,0.00000996007,0.0001527134,0.004072366,0.0000900554,0.0001118908,0.003540055,0.9279423,0.0136777,0.04801276,0.001575028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1326816,0.114594,0.3939814,0.003003269,0.03420001,0.05304435,0.01140542,0.008341242,0.2487487],"genre_scores_gemma":[0.5206233,0.003062459,0.05544929,0.0005241951,0.002384043,0.001919278,0.000558265,0.001533718,0.4139455],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3879417,"threshold_uncertainty_score":0.9997284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955713662621959,"score_gpt":0.2124662776995071,"score_spread":0.1829091410732875,"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."}}