{"id":"W4239454541","doi":"10.4095/220464","title":"Residual total magnetic field, 57 C/SE, Nunavut","year":2005,"lang":"en","type":"report","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Magnetic field; Materials science; Physics; Computer science; Mathematics; 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":[0.0002069447,0.0004227285,0.0002542005,0.001066231,0.00114891,0.0004848361,0.00085446,0.0002395569,0.007733778],"category_scores_gemma":[0.0004949959,0.0001959374,0.0001367331,0.001405312,0.0001819569,0.0003034035,0.0003801488,0.0004513724,0.002764688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739428,"about_ca_system_score_gemma":0.003788708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8233064,"about_ca_topic_score_gemma":0.8883079,"domain_scores_codex":[0.9998111,0.00001032954,0.000009118461,0.00005537754,0.0000759649,0.00003812036],"domain_scores_gemma":[0.9995545,0.00002594075,0.00002191223,0.00002871694,0.0003190229,0.00004995158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001244192,0.0004681762,0.6328296,0.0003093356,0.0001414646,0.001368545,0.002569493,0.004487603,0.01231003,0.002039294,0.2017429,0.1404895],"study_design_scores_gemma":[0.00007237882,0.0001602291,0.8887564,0.00004237773,0.00007173862,0.0002464771,0.001868092,0.00168405,0.005979168,0.0002941869,0.1007954,0.00002946788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.656888,0.0006791039,0.001118552,0.0002510124,0.0001836758,0.0002278532,0.2017964,0.0005207188,0.1383347],"genre_scores_gemma":[0.7096201,0.0006259675,0.003083976,0.0001008749,0.00004722767,0.0001232713,0.1282413,0.0002167131,0.1579406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1766936,"threshold_uncertainty_score":0.3554684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041144083898201,"score_gpt":0.2389024359964717,"score_spread":0.2084909951574897,"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."}}