{"id":"W4408085069","doi":"10.1007/978-3-031-80748-0_41","title":"Developing Hydrophilic Teflon via Cold Spray","year":2025,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Composite material","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":[0.000124065,0.0004586107,0.0001851165,0.0001947936,0.0001663792,0.0003198326,0.0003125744,0.0003038878,0.003732389],"category_scores_gemma":[0.000143082,0.0002940996,0.0002599013,0.0001395766,0.0002235442,0.0008208553,0.0004172515,0.0007008276,0.001541952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153663,"about_ca_system_score_gemma":0.000202798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004071935,"about_ca_topic_score_gemma":0.001414701,"domain_scores_codex":[0.9999024,0.0000036176,0.000003877123,0.00002056425,0.0000531159,0.00001631911],"domain_scores_gemma":[0.9999539,0.000008177788,0.00001217284,0.000005341838,0.00001353636,0.000006884391],"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":[0.000008393878,0.00001113543,0.00004253164,0.0001254327,0.000003109621,0.00009151324,0.00006143609,0.0001914231,0.9868536,0.001271901,0.0004552387,0.01088446],"study_design_scores_gemma":[0.0000085337,0.0001806456,0.0004121062,0.00002426922,0.000007471558,0.0003302842,0.00004318085,0.001681216,0.9680215,0.0002123197,0.02906753,0.00001090736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68212,0.006686283,0.2030015,0.0003767255,0.0008554476,0.0004995274,0.0004115997,0.001471872,0.1045771],"genre_scores_gemma":[0.7050182,0.00869769,0.1455693,0.0003037806,0.0001284883,0.0002045028,0.0006185443,0.0007642818,0.1386952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003732389,"threshold_uncertainty_score":0.01248604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580171668491004,"score_gpt":0.2288404851557394,"score_spread":0.2130387684708294,"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."}}