{"id":"W7099294658","doi":"","title":"Contents","year":2013,"lang":"en","type":"article","venue":"","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; ZEUS (particle detector); Trilogy; Exposition (narrative); Subject (documents)","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":["insufficient_payload"],"category_scores_codex":[0.00006028323,0.00004377463,0.00006864632,0.00001219062,0.0000278198,0.00008520744,0.00008947361,0.00001694074,0.08225729],"category_scores_gemma":[0.00001428414,0.00002998649,0.00001348306,0.00001802273,0.00001753998,0.0001650566,0.00003397919,0.000008377202,0.02443579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004048646,"about_ca_system_score_gemma":0.000003863656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223485,"about_ca_topic_score_gemma":0.000002755217,"domain_scores_codex":[0.9995996,0.00001516598,0.00009546778,0.0000928075,0.00006900871,0.0001279763],"domain_scores_gemma":[0.9997697,0.000009383636,0.00001836015,0.0001214559,0.00003361875,0.0000474267],"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":[9.782304e-7,0.000009741932,0.00003695266,0.00000200047,5.520376e-7,5.204808e-7,0.00001085515,1.241467e-7,0.960354,0.002140369,0.03705168,0.0003921902],"study_design_scores_gemma":[0.0001306173,0.00001378669,0.0006068694,0.00000190012,0.000001251444,0.000001969399,0.000022027,0.000009159796,0.9856837,0.001529231,0.01194529,0.00005424311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078078,0.000007365087,0.0002349929,0.0002314414,0.0002749924,0.0001056995,0.000001781571,0.00008726899,0.09124864],"genre_scores_gemma":[0.9860806,0.000001237353,0.000972499,0.0009296142,0.00005308124,0.00002914301,0.000001278224,0.000004115529,0.01192836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07932028,"threshold_uncertainty_score":0.9763238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721025926942899,"score_gpt":0.2487050173196074,"score_spread":0.2214947580501784,"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."}}