{"id":"W2059395699","doi":"10.1190/1.2715054","title":"The early history of the induced polarization method","year":2007,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Polarization (electrochemistry); Materials science; History; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004682725,0.001087931,0.001072536,0.002522955,0.0009527217,0.004384235,0.002207424,0.001889317,0.004911617],"category_scores_gemma":[0.01943618,0.00105733,0.0008512383,0.003248319,0.004613677,0.006028357,0.00362299,0.006151893,0.003320557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660641,"about_ca_system_score_gemma":0.001601838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391426,"about_ca_topic_score_gemma":0.0004649872,"domain_scores_codex":[0.9943164,0.002440976,0.0002342137,0.001081055,0.001670304,0.0002570559],"domain_scores_gemma":[0.9873646,0.007649469,0.000324605,0.001824876,0.002668051,0.0001684146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002010626,0.00009976431,0.001497596,0.0004789022,0.0001017593,0.0002475604,0.0005527441,0.009675633,0.004473585,0.5488648,0.008965061,0.4248415],"study_design_scores_gemma":[0.00006827097,0.0002013394,0.001681625,0.0005719851,0.00008193845,0.001058999,0.0002783359,0.07676283,0.01869821,0.5783395,0.321982,0.0002749306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003642353,0.009431741,0.9615542,0.001264884,0.0008196111,0.00007868847,0.0001946446,0.0003847761,0.02262903],"genre_scores_gemma":[0.194873,0.02749209,0.7435268,0.001955549,0.005219468,0.0005890317,0.0007534431,0.001170983,0.0244197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004911617,"threshold_uncertainty_score":0.0247649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601223254599759,"score_gpt":0.244004672977206,"score_spread":0.2179924404312085,"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."}}