{"id":"W4239672419","doi":"10.1088/1757-899x/576/1/011001","title":"2019 International Conference on Advances in Materials, Mechanical and Manufacturing (AMMM 2019)","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Theme (computing); Mechatronics; Engineering; China; Event (particle physics); Mechanical engineering; Engineering ethics; Engineering management; Computer science; Political science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008196812,0.0002867375,0.0003812803,0.0001797671,0.000147203,0.0009667496,0.0005375643,0.00009064069,0.001996622],"category_scores_gemma":[0.00005597443,0.0002441369,0.00001281432,0.0001082818,0.0002673495,0.001675219,0.0003879706,0.00008922313,0.0001818089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006118223,"about_ca_system_score_gemma":0.00008374482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001513647,"about_ca_topic_score_gemma":0.00001265492,"domain_scores_codex":[0.9979236,0.00003051685,0.0004331591,0.0006773046,0.0004122676,0.0005231191],"domain_scores_gemma":[0.9992954,0.00002533222,0.0001160434,0.0003158196,0.0001096677,0.0001377826],"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":[0.00007917947,0.00001361436,0.000006248952,0.00007303959,0.000001570406,0.000002459738,0.0001041123,0.00007778002,0.9536818,0.04538837,0.00001282714,0.0005589679],"study_design_scores_gemma":[0.0002868629,0.0001076386,0.001167857,0.0001938384,0.000003485515,0.00002531648,0.000189147,0.0002506558,0.9943247,0.0007835281,0.002334625,0.0003323496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958345,0.00006655479,0.0000569132,0.000638242,0.001913018,0.0003456807,0.0001047353,0.00009465435,0.0009456791],"genre_scores_gemma":[0.9976213,0.001127538,0.0007496505,0.00007225297,0.0001074122,0.00005214957,0.00001317087,0.00001946016,0.0002370841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04460484,"threshold_uncertainty_score":0.9989157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408530714850979,"score_gpt":0.2321819495878419,"score_spread":0.2180966424393321,"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."}}