{"id":"W2982077532","doi":"10.4095/302751","title":"First vertical derivative of the magnetic field, aeromagnetic survey of the Marguerite River area, Alberta, parts of NTS 74-L north and 74-L south","year":2017,"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":"Aeromagnetic survey; Geology; Field survey; Derivative (finance); Archaeology; Geodesy; Seismology; Geography; Magnetic field; 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":[0.0002116986,0.0002563845,0.0001824197,0.002253468,0.000809644,0.0006475118,0.0005591566,0.0002644314,0.002855215],"category_scores_gemma":[0.0005709885,0.0001480665,0.000154266,0.002248012,0.0003152743,0.0001729058,0.0003343774,0.0003525275,0.0005579821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005525747,"about_ca_system_score_gemma":0.01124694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9606887,"about_ca_topic_score_gemma":0.9864982,"domain_scores_codex":[0.9997898,0.000009603111,0.000005173114,0.00002501699,0.0001290113,0.00004152889],"domain_scores_gemma":[0.9995692,0.00002833382,0.0000262162,0.00001256172,0.0003005666,0.00006313745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209207,0.0001480792,0.8953391,0.000142682,0.0001123399,0.0003851679,0.0009842855,0.01167115,0.007231309,0.002446771,0.02969085,0.05152747],"study_design_scores_gemma":[0.00001770783,0.000008313435,0.988704,0.00001303964,0.00001234703,0.00005616963,0.0005503189,0.002539568,0.0006889888,0.0000989397,0.007300396,0.00001014078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311761,0.0003591364,0.001310006,0.0003433872,0.00005013258,0.00006208716,0.03714368,0.0001842545,0.02937113],"genre_scores_gemma":[0.9469593,0.0003069131,0.002896622,0.00004380037,0.00001789178,0.00002944684,0.023226,0.0000418879,0.02647817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03931129,"threshold_uncertainty_score":0.07908553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03590988161809375,"score_gpt":0.2429650324061847,"score_spread":0.207055150788091,"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."}}