{"id":"W2982207775","doi":"10.4095/222268","title":"Residual total magnetic field, Wuskwatim Lake aeromagnetic survey, Manitoba, Wimapedi River 63 O/06, Manitoba","year":2006,"lang":"en","type":"report","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Geology; Aeromagnetic survey; Hydrology (agriculture); Geodesy; Magnetic field; Geotechnical engineering; Mathematics; Physics","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":[0.0006711425,0.0007836508,0.0003596598,0.00288754,0.002158491,0.0007426254,0.001851502,0.0003061313,0.01308122],"category_scores_gemma":[0.001454448,0.000681065,0.0002507795,0.004874372,0.0003234303,0.000528426,0.0009205433,0.0005932907,0.005448412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005333305,"about_ca_system_score_gemma":0.01428079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528764,"about_ca_topic_score_gemma":0.9815097,"domain_scores_codex":[0.9996191,0.00004559729,0.00002750407,0.00007864371,0.0001594933,0.00006965241],"domain_scores_gemma":[0.9988037,0.00005405145,0.00009850784,0.00008187728,0.0008064854,0.0001553965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003674258,0.0003832659,0.7031682,0.0003613646,0.0001652324,0.0004485252,0.002697566,0.001478205,0.00514206,0.001169353,0.2048339,0.07978501],"study_design_scores_gemma":[0.00006477579,0.00005021095,0.9524006,0.0000633511,0.000055692,0.00007244893,0.001648559,0.000627666,0.00144059,0.0001097865,0.04344932,0.00001702297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3614936,0.0006749503,0.002111983,0.0008859633,0.0001059846,0.001345477,0.5671621,0.0006804886,0.06553942],"genre_scores_gemma":[0.36346,0.001431841,0.01351599,0.0004698242,0.00005980896,0.002049297,0.3534759,0.000440406,0.265097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04712355,"threshold_uncertainty_score":0.09480208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297588100869473,"score_gpt":0.2455807624274306,"score_spread":0.2158219523404833,"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."}}