{"id":"W4251530639","doi":"10.4095/222444","title":"Electromagnetic decay constant (TAU) with electromagnetic anomalies, MEGATEM II Survey Chibougamau 2006, parts of NTS: 32 G/16 - 32 J/01 - 32 I/04 - 32 H/13, Quebec","year":2006,"lang":"en","type":"report","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Constant (computer programming); Physics; Geology; Computer science","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":[0.0006256185,0.000563954,0.0003829229,0.003525025,0.0009366352,0.0005020864,0.0007326995,0.0003571344,0.003197735],"category_scores_gemma":[0.0008388938,0.0002021516,0.0002742449,0.004555264,0.0002253166,0.0004486514,0.0004068877,0.0005059499,0.001109225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817571,"about_ca_system_score_gemma":0.002306506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2971025,"about_ca_topic_score_gemma":0.4085262,"domain_scores_codex":[0.9997172,0.00002470757,0.000006688507,0.00005525465,0.0001274084,0.00006875752],"domain_scores_gemma":[0.998632,0.00009232233,0.0002614214,0.0001323415,0.0007677872,0.0001141962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009830701,0.0002788791,0.7242753,0.0006024074,0.0002412147,0.0006600424,0.00068382,0.004937531,0.03674201,0.005580605,0.06081138,0.1642038],"study_design_scores_gemma":[0.00002465587,0.0001369948,0.9030839,0.00006163643,0.00006770896,0.0003519233,0.0002292942,0.00261932,0.01135479,0.0004931382,0.08155128,0.00002539202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80446,0.0100356,0.01300482,0.0009761226,0.0001176918,0.0002188806,0.04355517,0.001381273,0.1262505],"genre_scores_gemma":[0.9446597,0.002516394,0.004046422,0.0001201926,0.00006775092,0.00008201491,0.02024316,0.0002377214,0.02802674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7028974,"threshold_uncertainty_score":0.5907464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097918622290866,"score_gpt":0.2193200746621266,"score_spread":0.208340888439218,"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."}}