{"id":"W2982025325","doi":"10.4095/222422","title":"Geophysical series - NTS 93A, 92P - Quesnel Lake, British Columbia","year":2006,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Meteorology; Geophysics; Geography; Paleontology","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":[0.0004682136,0.001473891,0.001044613,0.002719304,0.003072944,0.001741128,0.002466239,0.0009432035,0.1095409],"category_scores_gemma":[0.002509265,0.0008460677,0.0004005989,0.006933446,0.0005524439,0.001185813,0.0008767725,0.001788568,0.02579009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01216954,"about_ca_system_score_gemma":0.027383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810662,"about_ca_topic_score_gemma":0.9923407,"domain_scores_codex":[0.9993353,0.00003334338,0.00003438309,0.0001047993,0.0003864819,0.0001055745],"domain_scores_gemma":[0.996566,0.0002237356,0.0001411099,0.0002270332,0.00259184,0.0002502806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004059815,0.000160404,0.02132465,0.0002976357,0.00005575401,0.0002111872,0.0001493763,0.002933111,0.0009045717,0.0009712207,0.9178014,0.05478477],"study_design_scores_gemma":[0.0004754263,0.0000951949,0.3243515,0.0003693144,0.0001069018,0.0002141144,0.001207254,0.01289306,0.005067261,0.001059264,0.6540412,0.0001194418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02667647,0.0009611939,0.002101453,0.001510792,0.0005367547,0.0004828238,0.8014891,0.001516295,0.1647252],"genre_scores_gemma":[0.03831275,0.001335651,0.003770223,0.0002027337,0.00007817662,0.0002887151,0.2345506,0.0008499554,0.7206112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1095409,"threshold_uncertainty_score":0.3664507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199956047267258,"score_gpt":0.2094848463501936,"score_spread":0.1894892416234678,"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."}}