{"id":"W2981529806","doi":"10.4095/220556","title":"Geophysical series - NTS 64 L/09 - Sava Lake, Saskatchewan","year":2005,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Hydrology (agriculture); Earth science; Geophysics; Paleontology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003378799,0.0003883975,0.0004964712,0.0001677783,0.0002262079,0.00055116,0.0008310592,0.000371994,0.0002229399],"category_scores_gemma":[0.00004685439,0.0003281875,0.0002017895,0.0003197024,0.0001549989,0.001046636,0.0003047935,0.0005635113,0.0004107523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104111,"about_ca_system_score_gemma":0.003058809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002812553,"about_ca_topic_score_gemma":0.001227768,"domain_scores_codex":[0.9973614,0.00004870386,0.0004482739,0.0007990855,0.0008928772,0.0004496294],"domain_scores_gemma":[0.9983492,0.00003023763,0.0002900486,0.000763667,0.0004293052,0.0001375453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003166964,0.00006148668,0.00008693656,0.0001388642,0.00004933151,0.00003412766,0.0002751887,0.000003212528,0.00005018302,0.0002634395,0.03819222,0.9608418],"study_design_scores_gemma":[0.0002804489,0.0001072106,0.00140315,0.0002840118,0.00005850735,0.002390867,0.0001279163,0.001128013,0.002241676,0.002754369,0.9880745,0.001149262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008820688,0.0009077553,0.1708277,0.001434362,0.008865231,0.0002826355,0.00002686869,0.001689321,0.8150841],"genre_scores_gemma":[0.02153533,0.0005039722,0.2228122,0.0003292807,0.00616996,0.00004148352,0.0001042193,0.00008907724,0.7484145],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9596926,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724794838496258,"score_gpt":0.2562684508392501,"score_spread":0.2390205024542875,"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."}}