{"id":"W2624897602","doi":"10.4050/f-0070-2014-9562","title":"Compression Molding of Composite Tailboom Frames","year":2014,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada); National Research Council Canada","funders":"","keywords":"Compression molding; Composite number; Compression (physics); Materials science; Molding (decorative); Composite material; Computer science","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":[0.0001124743,0.0002814287,0.0001671876,0.0003532323,0.0001572471,0.0001391933,0.0001565302,0.0001376516,0.001958841],"category_scores_gemma":[0.0001852734,0.0001248566,0.0001131922,0.0002005855,0.0001656068,0.0001048173,0.0001168466,0.0002508754,0.0002068427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028811,"about_ca_system_score_gemma":0.0001796294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009348254,"about_ca_topic_score_gemma":0.002735594,"domain_scores_codex":[0.9999205,0.000002468811,0.000002590399,0.00001790803,0.00004059985,0.00001587567],"domain_scores_gemma":[0.9998729,0.00002166732,0.0000348796,0.00001884242,0.00003289115,0.00001868102],"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":[0.00006766154,0.00001400255,0.0001974075,0.0000487896,0.000001644979,0.00009368912,0.00002191183,0.000545224,0.9922998,0.0001332417,0.00006793017,0.006508749],"study_design_scores_gemma":[0.00001111544,0.0003959212,0.006404618,0.000009231559,0.000005563417,0.0001186665,0.0000121432,0.002099192,0.9879045,0.00002961693,0.003003843,0.000005687762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790861,0.0004449569,0.01499589,0.00002065971,0.00005155249,0.0001171781,0.0002346855,0.0001644479,0.004884608],"genre_scores_gemma":[0.9829181,0.0002557329,0.01240033,0.00001503534,0.00001175624,0.00003485164,0.0001976194,0.00005137831,0.004115136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958841,"threshold_uncertainty_score":0.006552994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005396770901266329,"score_gpt":0.1914119017271581,"score_spread":0.1860151308258917,"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."}}