{"id":"W2981353593","doi":"10.4095/220916","title":"Second vertical derivative of the magnetic field, 22A/05 - Lac McKay, Quebec","year":2005,"lang":"en","type":"report","venue":"","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Derivative (finance); Magnetic field; Physics; Quantum mechanics; Business","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":[0.0002767227,0.0003600111,0.0002629679,0.001029999,0.0008511113,0.000855009,0.0005248467,0.0002549867,0.01159233],"category_scores_gemma":[0.0009254634,0.0001494777,0.0001810462,0.001332302,0.000224368,0.0002883826,0.0001900208,0.0006053065,0.001042243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008453569,"about_ca_system_score_gemma":0.006298634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9549991,"about_ca_topic_score_gemma":0.9780383,"domain_scores_codex":[0.9996899,0.00001428739,0.000005822895,0.00004987456,0.0001881647,0.00005191364],"domain_scores_gemma":[0.9992529,0.00005323191,0.00003047944,0.0000384076,0.0005783722,0.00004667218],"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":[0.001084571,0.0002809468,0.2607734,0.0004772736,0.0002401783,0.001328799,0.001004097,0.04832334,0.04089208,0.02268189,0.3858294,0.237084],"study_design_scores_gemma":[0.00006297969,0.00005981798,0.8236757,0.00003298891,0.00002831644,0.0001914752,0.0002956167,0.03467779,0.02138748,0.0008958384,0.1186239,0.00006802355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5470937,0.002048572,0.01642858,0.002233757,0.0005313636,0.0002203431,0.1593504,0.001620074,0.2704734],"genre_scores_gemma":[0.7932982,0.0006514639,0.006657596,0.00008629764,0.00004778096,0.00003681243,0.02384529,0.0002902846,0.1750862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04500091,"threshold_uncertainty_score":0.09053183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009370496540294657,"score_gpt":0.2114967840271779,"score_spread":0.2021262874868832,"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."}}