{"id":"W2982277866","doi":"10.4095/215942","title":"Residual total magnetic field, 22 H/04 - Mont Louis, Quebec","year":2004,"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; 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":[0.0004999219,0.0007888328,0.000576523,0.001304522,0.004549183,0.001426946,0.001446641,0.0006453672,0.07031398],"category_scores_gemma":[0.0008246271,0.0002942488,0.0004198858,0.001582372,0.0005226179,0.0007653109,0.0005065524,0.0009758864,0.006061922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01833986,"about_ca_system_score_gemma":0.0167253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804407,"about_ca_topic_score_gemma":0.9903073,"domain_scores_codex":[0.999348,0.00004558436,0.000009699502,0.0001123187,0.0002744591,0.0002099207],"domain_scores_gemma":[0.9990163,0.00007329592,0.00003792207,0.00005625165,0.0006789092,0.0001373384],"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":[0.003314256,0.0009493344,0.09912821,0.0005834768,0.0003411408,0.001687931,0.001016316,0.00961218,0.01779852,0.01225933,0.6642777,0.1890316],"study_design_scores_gemma":[0.0003256991,0.0003953933,0.3988086,0.0001168173,0.00009130081,0.0003020394,0.001070988,0.006356833,0.01327786,0.0007458194,0.5784079,0.0001007009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.2518677,0.003013661,0.003867215,0.0046854,0.0007257498,0.0006943485,0.1549899,0.002633693,0.5775223],"genre_scores_gemma":[0.2059759,0.0007161246,0.002610823,0.0002968971,0.00006243997,0.00009025117,0.01766422,0.0002674994,0.7723158],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.07031398,"threshold_uncertainty_score":0.2352237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062119313079307,"score_gpt":0.2579201940185595,"score_spread":0.2472990008877665,"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."}}