{"id":"W3184599413","doi":"10.3390/jcs5080195","title":"Edge Race-Tracking during Film-Sealed Compression Resin Transfer Molding","year":2021,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Bundesministerium für Wirtschaft und Energie","keywords":"Transfer molding; Materials science; Composite material; Compression molding; Enhanced Data Rates for GSM Evolution; Leading edge; Molding (decorative); Flow visualization; Tracking (education); Compression (physics); Flow (mathematics); Computer science; Geometry; Mold; Artificial intelligence","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":[0.0004250912,0.0003743193,0.000263861,0.0002080584,0.0002180141,0.0002800761,0.0003449193,0.0002716447,0.0009982459],"category_scores_gemma":[0.001028828,0.0001971741,0.0001433901,0.0001687934,0.0004257543,0.0004648833,0.0003379348,0.0005824149,0.0002279151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988072,"about_ca_system_score_gemma":0.0002220553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002914945,"about_ca_topic_score_gemma":0.0004292711,"domain_scores_codex":[0.9996779,0.00003485914,0.00001469521,0.00009684321,0.0001208547,0.00005488041],"domain_scores_gemma":[0.9992688,0.0003187819,0.0002187569,0.00009911575,0.00006040248,0.00003419689],"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":[0.0001526139,0.00002997719,0.0003852388,0.0001183871,0.000003571905,0.0001660598,0.0001835539,0.0004751277,0.9868649,0.0001401628,0.00006869539,0.01141184],"study_design_scores_gemma":[0.000004115527,0.0001623101,0.001427297,0.0000050121,0.000003707418,0.00007955133,0.00001299143,0.001727634,0.9959739,0.00002090314,0.0005775044,0.000005019223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781862,0.0007709284,0.01923793,0.00003115199,0.00003109432,0.00009596028,0.00009855797,0.0005302274,0.001017825],"genre_scores_gemma":[0.9915292,0.0002594688,0.007298503,0.00002055592,0.00001071576,0.00003412876,0.0000598027,0.00006324959,0.0007243111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009982459,"threshold_uncertainty_score":0.003339529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312284699185111,"score_gpt":0.2536920299017445,"score_spread":0.2405691829098934,"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."}}