{"id":"W2995505509","doi":"10.82308/43087","title":"Diffusion bonding of silicon nitride to titanium","year":2000,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Diffusion; Materials science; Titanium; Silicon; Silicon nitride; Nitride; Diffusion bonding; Metallurgy; Nanotechnology; Thermodynamics; Physics; Layer (electronics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009817118,0.0004560896,0.0006855904,0.0002286371,0.0005792039,0.0000675189,0.0007663593,0.0002247429,0.01007552],"category_scores_gemma":[0.0006442831,0.0004527887,0.0001678928,0.0004874747,0.00008867445,0.0007602052,0.0002769012,0.0002443264,0.002822876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999102,"about_ca_system_score_gemma":0.00002036543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002804579,"about_ca_topic_score_gemma":0.00006326478,"domain_scores_codex":[0.9963357,0.0003135403,0.0009243161,0.0009010297,0.0006960819,0.0008292716],"domain_scores_gemma":[0.9979703,0.0002994875,0.0002774178,0.0009226962,0.0001533144,0.0003767982],"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":[0.0002032638,0.0001114386,0.00002671276,0.00006110262,0.00001012637,0.00001852653,0.000005347211,0.0001390051,0.9429918,0.01617642,0.000004431355,0.04025184],"study_design_scores_gemma":[0.0004511236,0.0001269247,0.0004461641,0.000155539,0.0000353606,0.00002692722,0.00003839236,0.00001296023,0.9548388,0.00858822,0.03478112,0.0004985387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654847,0.00003190648,0.000002312642,0.00004905734,0.0005685892,0.0004818967,0.0006706569,0.0002958819,0.03241502],"genre_scores_gemma":[0.9916937,0.00003660016,0.004765572,0.0003524444,0.00005874931,0.00005830588,0.00001089285,0.0001054931,0.002918225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03975331,"threshold_uncertainty_score":0.9997924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127598500176924,"score_gpt":0.231281518102657,"score_spread":0.2185216680849646,"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."}}