{"id":"W2378886764","doi":"","title":"Research on Placement Techniques of Epoxy Matrix Composite Prepreg","year":2009,"lang":"en","type":"article","venue":"Chemistry and Adhesion","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Materials science; Composite number; Composite material; Epoxy; Hardening (computing); Induction heating; Electromagnetic coil","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":[0.00009451128,0.00005528441,0.00006407218,0.00001595114,0.00003738578,0.000012008,0.00004703349,0.00005456442,0.00002983389],"category_scores_gemma":[0.000004449653,0.00005040754,0.0000111403,0.00004554395,0.0000136865,0.00002800845,0.00001208791,0.00009212708,0.00000117664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001386627,"about_ca_system_score_gemma":0.00000291977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.240499e-7,"about_ca_topic_score_gemma":1.312598e-8,"domain_scores_codex":[0.9996354,0.000004483307,0.0000864232,0.00009057669,0.0001005969,0.00008254639],"domain_scores_gemma":[0.999823,0.00001683871,0.00001321329,0.00009661307,0.00002154415,0.00002880321],"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":[0.00004627935,0.00005555497,0.00005746011,0.0007158489,0.000005275582,0.000002165366,0.0001083628,0.01648562,0.9657461,0.00004773699,0.0007074007,0.01602219],"study_design_scores_gemma":[0.00007222257,0.00003869434,0.0002856831,0.000152519,0.000001898399,0.000001183672,0.00001946423,0.002321646,0.996414,0.0001526965,0.0004882158,0.00005175609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772195,0.000382755,0.0009096191,0.00006611362,0.00001209093,0.00009611109,0.000002424727,0.0001429324,0.02116843],"genre_scores_gemma":[0.9984584,0.0002314061,0.0008860163,0.000004593314,0.00002640256,0.000003606819,0.000007932289,0.00000460984,0.0003770218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03066792,"threshold_uncertainty_score":0.205556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750117573884157,"score_gpt":0.2969286348032463,"score_spread":0.2794274590644047,"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."}}