{"id":"W2981430460","doi":"10.4095/222463","title":"Residual total magnetic field, Deschambault Lake aeromagnetic survey, Saskatchewan, Seager Wheeler Lake 63 L/05, Saskatchewan","year":2006,"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":"Residual; Geology; Aeromagnetic survey; Magnetic survey; Remote sensing; Paleontology; Magnetic field; Magnetic anomaly; Mathematics; Physics; Algorithm","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":[0.0004617147,0.0005876009,0.0003672767,0.003173627,0.002397708,0.0009393821,0.001317559,0.0004205568,0.009462722],"category_scores_gemma":[0.0009228415,0.0004108018,0.0002585573,0.004575742,0.000463358,0.0005271625,0.0007826959,0.0004676681,0.002766652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008547309,"about_ca_system_score_gemma":0.01877394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.964916,"about_ca_topic_score_gemma":0.9916585,"domain_scores_codex":[0.9996239,0.00002588714,0.00002331013,0.00007970531,0.0001862419,0.0000608586],"domain_scores_gemma":[0.9989343,0.00007719915,0.00006740967,0.00008036802,0.0007204422,0.0001202251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007564184,0.0002784682,0.778936,0.00033145,0.0003396177,0.001932054,0.002793711,0.005929161,0.01729869,0.001857187,0.07870156,0.1108457],"study_design_scores_gemma":[0.00007215118,0.00004368651,0.9585811,0.00007249729,0.00006133069,0.0001580109,0.00194108,0.002347666,0.003593837,0.0003337567,0.03274548,0.00004929766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900451,0.0006347998,0.002062112,0.0006687026,0.00007461001,0.0003873218,0.1377704,0.0004710247,0.06788603],"genre_scores_gemma":[0.7735703,0.001112618,0.00963304,0.0003546394,0.00003065971,0.0004145387,0.05974013,0.0001649967,0.1549791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03508401,"threshold_uncertainty_score":0.0705812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728697850268703,"score_gpt":0.2468973834993344,"score_spread":0.2296104049966474,"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."}}