{"id":"W7057596996","doi":"","title":"Laser-ultrasonics monitoring of texture and formability of metal sheets","year":2000,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formability; Texture (cosmology); Metal; Deformation (meteorology); Sheet metal","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001300951,0.0001044567,0.0001268007,0.0004564199,0.00019559,0.0002246666,0.0001984911,0.0002758571,0.002170999],"category_scores_gemma":[0.000395163,0.000114224,0.00008241326,0.0002854251,0.0002005063,0.0002078621,0.0001586383,0.0002110329,0.0003426748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260284,"about_ca_system_score_gemma":0.0000914776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008501629,"about_ca_topic_score_gemma":0.001640516,"domain_scores_codex":[0.9998628,0.00001197276,0.000005038748,0.00002645948,0.00007623518,0.00001749818],"domain_scores_gemma":[0.9997657,0.00008365192,0.00004325875,0.00001948798,0.00006989166,0.00001807342],"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":[0.0002629384,0.00002397414,0.002009373,0.00002610452,0.000003851841,0.00003723684,0.00007931988,0.0002177199,0.9877708,0.0001113367,0.0002396382,0.009217753],"study_design_scores_gemma":[0.00001748343,0.0002309267,0.01837771,0.000004561087,0.000009988777,0.0001275337,0.0001205794,0.00376835,0.9762756,0.0000464919,0.00101384,0.000007006741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896801,0.0003112837,0.005648246,0.00007228075,0.00002733672,0.00001243618,0.0001986348,0.0001253619,0.003924275],"genre_scores_gemma":[0.9916303,0.000113597,0.003935777,0.00002522492,0.00001101112,0.00001132876,0.0001545299,0.00001823378,0.004100029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002170999,"threshold_uncertainty_score":0.007262766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008823226060683679,"score_gpt":0.2526992152595819,"score_spread":0.2438759891988983,"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."}}