{"id":"W4242256191","doi":"10.2320/matertrans.mpr2015902","title":"PREFACE","year":2015,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Materials 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":[0.00006292867,0.00006463513,0.00007682041,0.00003539206,0.00002678522,0.00002585611,0.00007028862,0.00004871011,0.0000599409],"category_scores_gemma":[0.000003627202,0.00006406008,0.00001302771,0.00006032028,0.00001682649,0.00006160055,0.000001470723,0.00005492573,0.00008429252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004122689,"about_ca_system_score_gemma":0.00001079852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216912,"about_ca_topic_score_gemma":0.000005861099,"domain_scores_codex":[0.9996595,0.000006624638,0.00007766691,0.00005947053,0.00004810145,0.0001486037],"domain_scores_gemma":[0.999816,0.000004799669,0.000004762316,0.0001315634,0.000009248008,0.00003364448],"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":[0.00001482123,0.00005468246,0.00001686329,0.0001130675,0.0001349144,0.00001019504,0.00125602,0.1231947,0.8561832,0.001453798,0.008535709,0.009032025],"study_design_scores_gemma":[0.0002080774,0.00002688986,0.00005466683,0.00001123158,0.0000133525,0.00001827507,0.0001068819,0.0009463311,0.9799089,0.001512053,0.01703468,0.0001585977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131715,0.0002713214,0.2770079,0.0001950693,0.0009981907,0.00008284385,0.00001870744,0.004322932,0.003931528],"genre_scores_gemma":[0.9984609,0.00003872028,0.001162195,0.000005250311,0.00002073842,0.00002240059,0.000002151243,0.00001555543,0.0002720163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2852895,"threshold_uncertainty_score":0.2612294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158254880517447,"score_gpt":0.2056006683896503,"score_spread":0.1840181195844758,"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."}}