{"id":"W2981564335","doi":"10.4095/220910","title":"Residual total magnetic field, 22C/01 - Lac Prime, Quebec","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":"Prime (order theory); Residual; Mathematics; Combinatorics; 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":[0.0004656843,0.0007118634,0.0004481054,0.001824949,0.002572431,0.001013084,0.001572291,0.0004039077,0.02254104],"category_scores_gemma":[0.0009675205,0.0002728072,0.0002560977,0.002772535,0.0003293523,0.0006338339,0.0003772668,0.0006639422,0.003199565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01725234,"about_ca_system_score_gemma":0.01599824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942036,"about_ca_topic_score_gemma":0.9969175,"domain_scores_codex":[0.9995259,0.00002823101,0.00001382225,0.00009535567,0.0002273096,0.0001093119],"domain_scores_gemma":[0.9985774,0.00006515128,0.00006679165,0.00006632777,0.001095611,0.0001287788],"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":[0.001766881,0.0005141342,0.3574975,0.0004507821,0.0003180127,0.001042107,0.00103484,0.005824767,0.008033688,0.003123473,0.4758791,0.1445147],"study_design_scores_gemma":[0.0001690272,0.0001104691,0.857603,0.00005161858,0.0000648795,0.0001251038,0.0006614126,0.003304766,0.003246958,0.000197765,0.1344169,0.00004814295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3142426,0.001390882,0.002481573,0.001340234,0.0001858982,0.0006901347,0.5339455,0.0011882,0.1445351],"genre_scores_gemma":[0.5185819,0.0008321416,0.004232384,0.0003587043,0.00005998119,0.0002389106,0.1610056,0.0002972099,0.3143931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02254104,"threshold_uncertainty_score":0.1251751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084617053096289,"score_gpt":0.2259670843347795,"score_spread":0.2051209138038166,"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."}}