{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983489,0.0002839302,0.0003019302,0.001319587,0.002419887,0.0020086,0.0009792215,0.000693741,0.01014552],"category_scores_gemma":[0.001055847,0.0002335029,0.0002101663,0.002179405,0.0006555398,0.0008242697,0.0005308722,0.0007749759,0.0012292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03260113,"about_ca_system_score_gemma":0.03687526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830822,"about_ca_topic_score_gemma":0.9933237,"domain_scores_codex":[0.9989634,0.00004248935,0.00001694347,0.0001328304,0.0005344885,0.0003099841],"domain_scores_gemma":[0.9979703,0.00005731123,0.0000459906,0.00002859445,0.001641614,0.0002560667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002131179,0.000201651,0.2006813,0.0006268953,0.000134753,0.0007752863,0.002894803,0.01093829,0.02272838,0.04955521,0.2276638,0.4816685],"study_design_scores_gemma":[0.0001103698,0.0001726471,0.3052381,0.0001729368,0.00009430778,0.0003537124,0.003150125,0.008057508,0.006709089,0.002962083,0.6728745,0.0001046739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5319262,0.02683305,0.01011216,0.04318074,0.002101458,0.0001722226,0.01879025,0.001283739,0.3656001],"genre_scores_gemma":[0.8564014,0.003575708,0.005694703,0.001100071,0.0001351861,0.00001950166,0.00300933,0.00006122916,0.1300029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03260113,"threshold_uncertainty_score":0.2365388,"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."}}