{"id":"W2982014738","doi":"10.4095/220899","title":"Residual total magnetic field, 22B/01 - Escuminac, Quebec","year":2005,"lang":"en","type":"report","venue":"","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geography; Mathematics; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005654198,0.000684966,0.0005770865,0.001348444,0.003794239,0.001328337,0.001353947,0.0005072479,0.03940362],"category_scores_gemma":[0.0008992309,0.0002241521,0.0003352568,0.001727002,0.0005365029,0.0006385561,0.0004788488,0.000784543,0.003598443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02291445,"about_ca_system_score_gemma":0.01588782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862686,"about_ca_topic_score_gemma":0.9926361,"domain_scores_codex":[0.9993106,0.00004573301,0.00001060569,0.0001271527,0.0003139581,0.0001920216],"domain_scores_gemma":[0.9987655,0.0000684793,0.00004664038,0.00006345838,0.0009075667,0.000148361],"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":[0.005765987,0.001210235,0.1765367,0.0007301287,0.0004678846,0.002015488,0.001129564,0.01622855,0.03221164,0.01394603,0.5279692,0.2217886],"study_design_scores_gemma":[0.0004135409,0.000395696,0.6380883,0.00008242557,0.00008905074,0.0002236938,0.0008637818,0.007037705,0.01332007,0.0006145709,0.3387738,0.00009736645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3884031,0.002303463,0.003377863,0.003123556,0.0004670681,0.0006876579,0.2026559,0.00204251,0.3969388],"genre_scores_gemma":[0.4531519,0.0006332169,0.002891445,0.000326162,0.00006105133,0.0001062266,0.03554119,0.0003011971,0.5069876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03940362,"threshold_uncertainty_score":0.1662567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192764229092522,"score_gpt":0.2713995857732155,"score_spread":0.2594719434822903,"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."}}