{"id":"W2982158771","doi":"10.4095/299247","title":"Report of activities for the GEM-2 multi-kinetic apatite fission track (MK-AFT) modelling and method development","year":2016,"lang":"en","type":"report","venue":"","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Fission track dating; Apatite; Fission; Kinetic energy; Track (disk drive); Nuclear engineering; Nuclear physics; Computer science; Geology; Mineralogy; Engineering; Physics; Classical mechanics; Neutron; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01569941,0.002265743,0.001140787,0.002246984,0.001547394,0.003236372,0.002287095,0.0017232,0.009842711],"category_scores_gemma":[0.005817715,0.0007381556,0.001651573,0.001549981,0.0009846813,0.00184398,0.002520859,0.001675206,0.009177619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002822559,"about_ca_system_score_gemma":0.007993835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087029,"about_ca_topic_score_gemma":0.009901023,"domain_scores_codex":[0.9951514,0.00118293,0.0001295234,0.0004092978,0.002681104,0.0004457292],"domain_scores_gemma":[0.9919593,0.001193506,0.0004667867,0.001585758,0.003910691,0.0008840834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008498007,0.003582393,0.03747752,0.002910279,0.001180871,0.002298856,0.002898187,0.09632895,0.2376708,0.03069857,0.2216262,0.3548293],"study_design_scores_gemma":[0.0005399964,0.001893112,0.01811455,0.0002893978,0.0004508561,0.001318289,0.0006183336,0.04058166,0.4125318,0.005675141,0.5178128,0.0001740433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2418517,0.004770592,0.3573973,0.003859145,0.001372738,0.003156706,0.08575248,0.009726111,0.2921132],"genre_scores_gemma":[0.4605642,0.003574955,0.3414895,0.0004721513,0.0002209175,0.002468626,0.09554332,0.006543901,0.08912241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01569941,"threshold_uncertainty_score":0.08302736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122819173825939,"score_gpt":0.3359811733555707,"score_spread":0.2131619995296317,"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."}}