{"id":"W3205446548","doi":"","title":"Present and Future Magnetometer Arrays in Canada","year":2004,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Magnetometer; Political science; Remote sensing; Computer science; Geography; Physics; Magnetic field","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007756594,0.00009546959,0.00008869775,0.00004125165,0.00002869998,0.00001514227,0.00004635638,0.0000410098,0.000002682739],"category_scores_gemma":[0.00001068516,0.000099327,0.00001141066,0.00008390075,0.000005986662,0.00006824029,0.00001040782,0.000159097,0.000004164187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387925,"about_ca_system_score_gemma":0.00004388078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7824073,"about_ca_topic_score_gemma":0.6121329,"domain_scores_codex":[0.9993716,0.000005289567,0.0001770118,0.0001096563,0.0001184738,0.0002178941],"domain_scores_gemma":[0.9998016,0.0000230659,0.00002088843,0.00008262743,0.00001090533,0.00006092104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000004582213,0.000007223082,0.01326606,0.00008755217,0.000008709626,0.00008807246,0.0002881736,0.9613389,0.01739648,0.00002699708,0.00004634896,0.007440944],"study_design_scores_gemma":[0.0005480892,0.00001250748,0.9240695,0.0001600191,0.000008374039,0.00001170017,0.0001664973,0.003188195,0.06639043,0.00007257706,0.005066975,0.0003051245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993434,0.0003160654,0.000010508,0.0002003869,0.0003460707,0.00006533179,9.643359e-7,0.00006247134,0.005564218],"genre_scores_gemma":[0.9987147,0.00005191255,0.0007648913,0.00002436969,0.0004179211,0.00000298351,0.000001517073,0.00001639812,0.000005317333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9581507,"threshold_uncertainty_score":0.4050438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004904282553139945,"score_gpt":0.1779582016553389,"score_spread":0.1730539191021989,"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."}}