{"id":"W2982188293","doi":"10.4095/302756","title":"Tilt angle 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":"Tilt (camera); Geology; Aeromagnetic survey; Field survey; Geodesy; Archaeology; Seismology; Geography; Magnetic field; Geometry; Physics; Mathematics","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":[0.0001586208,0.0002068163,0.0001454172,0.001558542,0.001084906,0.0005932186,0.0004247666,0.0002291719,0.002609513],"category_scores_gemma":[0.000453723,0.0001427141,0.0001116557,0.001864655,0.0003940537,0.0001471869,0.0003563437,0.0002961815,0.000563519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005128658,"about_ca_system_score_gemma":0.009631892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9635795,"about_ca_topic_score_gemma":0.9903259,"domain_scores_codex":[0.9997997,0.00001113971,0.000005423473,0.00002654592,0.0001180019,0.00003914435],"domain_scores_gemma":[0.9996638,0.00001759787,0.00002413034,0.000009590005,0.0002212573,0.00006357716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003867373,0.00007145555,0.9445466,0.00007690357,0.00005280723,0.0002741918,0.001267211,0.003664331,0.006260056,0.001102853,0.012668,0.02962884],"study_design_scores_gemma":[0.00001247378,0.000007194488,0.9939873,0.00001007387,0.000008640353,0.00003625084,0.0007349913,0.0006698758,0.0003835465,0.00004071662,0.004103354,0.000005549606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604896,0.0002403332,0.0005230477,0.0001951972,0.0000275409,0.00005325788,0.01323839,0.00008265089,0.02514986],"genre_scores_gemma":[0.9705589,0.0002558513,0.00131086,0.00004722846,0.00001142052,0.00002496188,0.008498882,0.00001877098,0.01927302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642052,"threshold_uncertainty_score":0.07326996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583048301216121,"score_gpt":0.2420885898694562,"score_spread":0.206258106857295,"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."}}