{"id":"W2883862222","doi":"10.4095/308443","title":"Preliminary compilation of apatite fission-track data in Canada","year":2018,"lang":"en","type":"report","venue":"","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Fission track dating; Apatite; Track (disk drive); Fission; Geology; Computer science; Mineralogy; Nuclear physics; Operating system; Physics; Neutron","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009354638,0.0009051583,0.0005797612,0.00707013,0.002512993,0.001576341,0.001098508,0.0003713449,0.006510957],"category_scores_gemma":[0.002747269,0.000401389,0.0006322637,0.01003458,0.0003088147,0.0006123235,0.001088288,0.0005924301,0.002279143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02114217,"about_ca_system_score_gemma":0.08174217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936605,"about_ca_topic_score_gemma":0.9967134,"domain_scores_codex":[0.9983734,0.00003146288,0.00008774455,0.0001500286,0.001045052,0.0003123204],"domain_scores_gemma":[0.990899,0.0001977826,0.0002217647,0.0002547647,0.008011513,0.0004152081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001486361,0.000460029,0.3929837,0.001027372,0.0004119606,0.001085177,0.002622146,0.008757315,0.01680435,0.004673533,0.3900459,0.1796422],"study_design_scores_gemma":[0.00006314645,0.00004922294,0.6418395,0.0001530919,0.0001131551,0.0001395216,0.001398911,0.002169532,0.01002418,0.0003122012,0.3436583,0.0000793021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1352557,0.0006314568,0.00214651,0.0005456599,0.00009906041,0.0002303397,0.8373207,0.0006421793,0.02312833],"genre_scores_gemma":[0.1904542,0.001628822,0.01044111,0.0001606366,0.00003721451,0.0002655433,0.7391045,0.0003290754,0.05757888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02114217,"threshold_uncertainty_score":0.1533979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513218074432947,"score_gpt":0.2460516181474075,"score_spread":0.1947298107041128,"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."}}