{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003047397,0.00004817787,0.00007508058,0.00003042105,0.00001727298,0.000009622841,0.00005053773,0.00002939727,0.0001483884],"category_scores_gemma":[0.000003440201,0.00004067745,0.00001434284,0.00002825682,0.000006440701,0.00004950715,0.00001237519,0.00003582187,0.000005260624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003795688,"about_ca_system_score_gemma":6.824704e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007093452,"about_ca_topic_score_gemma":5.401166e-7,"domain_scores_codex":[0.9997447,0.000004317223,0.00008809702,0.00004690062,0.00005469244,0.0000613605],"domain_scores_gemma":[0.9998614,0.00001913992,0.00001402715,0.00007359629,0.00001231199,0.00001954657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001706424,0.000005571762,0.0007186121,0.0001253733,0.000005846658,6.362929e-8,0.00007218823,0.9785566,0.006458098,0.001052465,0.0002994374,0.01270403],"study_design_scores_gemma":[0.00009795263,0.000007516874,0.001771051,0.00003716628,0.000003162287,2.804977e-7,0.000005803241,0.7737348,0.2219009,0.0002337506,0.002143019,0.00006459182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4200914,0.0000753494,0.5488283,0.00001475638,0.000112786,0.0000392455,6.644065e-7,0.0002335806,0.03060393],"genre_scores_gemma":[0.9881626,0.0000155397,0.01169038,0.00001549013,0.00001869217,0.000001213675,0.000003309224,0.000008772564,0.00008395183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5680712,"threshold_uncertainty_score":0.1658778,"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."}}