{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311853,0.000870783,0.0005650836,0.001789793,0.001976728,0.001241866,0.001450045,0.0006166224,0.1092499],"category_scores_gemma":[0.001242288,0.000447379,0.0003325114,0.003993403,0.0005692238,0.001108222,0.0009337986,0.0009309137,0.02693819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00486301,"about_ca_system_score_gemma":0.01330406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7324949,"about_ca_topic_score_gemma":0.9075512,"domain_scores_codex":[0.9996765,0.00002245488,0.00001493906,0.00007493508,0.0001525988,0.00005864655],"domain_scores_gemma":[0.9986581,0.0001297056,0.00006330637,0.0001994389,0.0008154225,0.0001340815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00164942,0.0005173677,0.07894957,0.0004927588,0.000163254,0.001155782,0.0006899819,0.01453177,0.02697594,0.00513185,0.6446974,0.2250449],"study_design_scores_gemma":[0.0006131771,0.0002662945,0.3539689,0.0003539335,0.0001422668,0.0005324486,0.002421713,0.02464397,0.03155778,0.005765155,0.5795447,0.0001895792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1849385,0.0009413899,0.01434082,0.003195277,0.0008666918,0.0009983733,0.3472351,0.004868467,0.4426154],"genre_scores_gemma":[0.1942432,0.001160519,0.0158384,0.0004083255,0.00006123002,0.0004514782,0.105027,0.001064473,0.6817454],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2675051,"threshold_uncertainty_score":0.538161,"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."}}