{"id":"W4243557421","doi":"10.4095/222455","title":"Residual total magnetic field with EM anomalies, MEGATEM II Survey Chibougamau 2006, parts of NTS: 32 G/16 - 32 J/01 - 32 I/04 - 32 H/13, Quebec","year":2006,"lang":"en","type":"report","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Field survey; Geology; Geography; Mathematics; Cartography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001314156,0.00139348,0.001825291,0.000588359,0.0001795424,0.0001619028,0.0007771343,0.001177422,0.0008296236],"category_scores_gemma":[0.0005749215,0.001286847,0.0002674146,0.0007257695,0.0002841879,0.000340384,0.0004010361,0.001278088,0.00001658704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008890084,"about_ca_system_score_gemma":0.001124718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.174599,"about_ca_topic_score_gemma":0.2030041,"domain_scores_codex":[0.9942299,0.0002346029,0.001722556,0.001132115,0.001509518,0.001171266],"domain_scores_gemma":[0.9961416,0.0006219887,0.000599449,0.001688793,0.0006936719,0.0002544876],"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":[0.0003353177,0.0005608482,0.1182277,0.004172197,0.001224434,0.0007870001,0.0003423893,0.0008637279,0.0007802396,0.001125227,0.8610027,0.01057818],"study_design_scores_gemma":[0.004665726,0.008998942,0.8729231,0.009759944,0.001831437,0.00375816,0.0002887271,0.0004049134,0.02769658,0.008947414,0.04678635,0.01393867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3995408,0.004543249,0.0029374,0.00006523354,0.001505272,0.002208843,0.00145583,0.00558804,0.5821553],"genre_scores_gemma":[0.7948947,0.0006967791,0.1165049,0.00007237467,0.001735489,0.0004561244,0.003269464,0.001301086,0.08106902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8142164,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183740773203554,"score_gpt":0.2388813708770901,"score_spread":0.2205072935567347,"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."}}