{"id":"W2114441484","doi":"10.1071/eg12040","title":"Precision requirements for specifying transmitter waveforms used for modelling the off-time electromagnetic response","year":2012,"lang":"en","type":"article","venue":"Exploration Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Waveform; Amplitude; Discretization; Convolution (computer science); Computer science; Algorithm; Software; Acoustics; Mathematics; Mathematical analysis; Physics; Telecommunications; Artificial intelligence; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009981279,0.0001857171,0.000205753,0.00004576588,0.000396784,0.00008361152,0.0001995911,0.00006826883,0.00009379277],"category_scores_gemma":[0.00008678204,0.0001181091,0.0001702387,0.0003115525,0.00003458573,0.000910626,0.000006488151,0.0001177324,0.0002041818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009574144,"about_ca_system_score_gemma":0.00002952656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002464809,"about_ca_topic_score_gemma":0.000003968865,"domain_scores_codex":[0.9983823,0.0001860519,0.0002985909,0.0002526295,0.0003061375,0.0005743119],"domain_scores_gemma":[0.9981195,0.001340961,0.0001068889,0.0002233233,0.00009227099,0.0001170739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003937262,0.0002624125,0.000195363,0.00006614951,0.000075729,3.736884e-7,0.004913809,0.02837561,0.02533613,0.0009903446,0.001298302,0.9345485],"study_design_scores_gemma":[0.001302063,0.002000405,0.006343789,0.00002410725,0.00009119884,0.000001261569,0.0001521398,0.8205943,0.01566762,0.127453,0.02585772,0.0005124158],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5642492,0.0001805385,0.4327769,0.001145558,0.0003015671,0.001155306,0.00004056598,0.0000495854,0.0001008425],"genre_scores_gemma":[0.9712517,0.00002296837,0.0260597,0.0003346105,0.001017647,0.00009046316,0.0001976845,0.00001481333,0.001010402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9340361,"threshold_uncertainty_score":0.4816348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678616795483002,"score_gpt":0.2814851997666014,"score_spread":0.2136235202183012,"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."}}