{"id":"W2981472288","doi":"10.4095/220896","title":"Residual total magnetic field, 22A/04 - New Richmond, 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); 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":[0.0006161124,0.0008214187,0.0006422529,0.001486301,0.004242987,0.001654704,0.001895391,0.0006992479,0.09966854],"category_scores_gemma":[0.001128027,0.000440326,0.0005030585,0.00184132,0.0005351499,0.0007623378,0.0005815917,0.001122531,0.009496314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02389463,"about_ca_system_score_gemma":0.02551832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840077,"about_ca_topic_score_gemma":0.9933805,"domain_scores_codex":[0.9991054,0.00005594475,0.00001701091,0.0001530583,0.0004147231,0.0002537771],"domain_scores_gemma":[0.9984207,0.0001068133,0.00006053255,0.0001025421,0.001134212,0.0001750799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002287745,0.0006671519,0.05836842,0.0006018312,0.0002515689,0.0008897322,0.0007080087,0.006096489,0.01156525,0.01222451,0.7653215,0.1410178],"study_design_scores_gemma":[0.0002752832,0.0002527779,0.2393873,0.0001204484,0.00006389873,0.0001859319,0.0005776787,0.004422402,0.007719587,0.0005236291,0.7463848,0.00008630119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1202834,0.002702823,0.004163387,0.004169707,0.0008182627,0.0009390339,0.2047795,0.002210174,0.6599339],"genre_scores_gemma":[0.08488125,0.000566635,0.002394142,0.0002652796,0.0000413999,0.000118284,0.01920989,0.0002777429,0.8922455],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09966854,"threshold_uncertainty_score":0.3334244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358233820835366,"score_gpt":0.2721721735297852,"score_spread":0.2585898353214315,"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."}}