{"id":"W2398129597","doi":"10.1016/j.micron.2007.10.003","title":"","year":2007,"lang":"en","type":"article","venue":"Micron","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Alberta","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001439857,0.0001401862,0.0001205872,0.000154875,0.0001079174,0.00002936825,0.0002189153,0.00006174359,0.00002819643],"category_scores_gemma":[0.00004558334,0.0001426397,0.00005882949,0.0003810411,0.00007642388,0.0001831095,0.0000627161,0.0001327228,0.003562924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021688,"about_ca_system_score_gemma":0.00001262454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002673737,"about_ca_topic_score_gemma":0.001093062,"domain_scores_codex":[0.9985362,0.0000285059,0.0002442105,0.0002760502,0.0001844474,0.0007305287],"domain_scores_gemma":[0.9993124,0.00005641499,0.00006680108,0.0003663195,0.00005193086,0.000146118],"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":[0.0001976664,0.00008439564,0.07076196,0.000003152644,0.000007937006,0.00006092102,0.0008417754,0.000005253049,0.9208911,0.0001182771,0.001943847,0.00508373],"study_design_scores_gemma":[0.0006362092,0.00003563984,0.3503203,0.000005007198,0.000005759752,0.00003793076,0.0001950226,0.000002291749,0.6201062,0.00006292556,0.02846157,0.0001312217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960353,0.0002222934,0.001579059,0.0001231199,0.0000954752,0.0001544122,0.000008530691,0.0004077928,0.001373957],"genre_scores_gemma":[0.9959624,5.702707e-7,0.003231385,0.0003898752,0.0001287991,0.000001877421,0.00001177728,0.00007241042,0.000200852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007849,"threshold_uncertainty_score":0.9972129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008311857900578734,"score_gpt":0.26292763579273,"score_spread":0.2546157778921513,"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."}}