{"id":"W7059503401","doi":"","title":"Page 181","year":2011,"lang":"en","type":"article","venue":"Pittsburg State University Digital Commons (Pittsburg State University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ledger; Period (music); Register (sociolinguistics); Quarter (Canadian coin)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001074535,0.0006367133,0.0005756876,0.001191068,0.0003332372,0.0001311476,0.001244673,0.000224028,0.0004457548],"category_scores_gemma":[0.00002636102,0.0008380082,0.0003182215,0.00125876,0.0004245014,0.001650899,0.0005317349,0.0006798796,0.0001628997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004505177,"about_ca_system_score_gemma":0.00008110193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004707155,"about_ca_topic_score_gemma":0.0002044902,"domain_scores_codex":[0.9974878,0.0001007375,0.0003489859,0.0006573376,0.0003897034,0.001015409],"domain_scores_gemma":[0.9979946,0.0001632644,0.0001305673,0.0009581335,0.0002040049,0.0005494251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006234959,0.005495678,0.09552423,0.002363823,0.006216531,0.06410404,0.07721952,0.006622843,0.01645193,0.1054607,0.338994,0.2753117],"study_design_scores_gemma":[0.003072323,0.0008042717,0.01154758,0.0001716784,0.0002594926,0.0000825176,0.005654528,0.001597944,0.004847428,0.01037175,0.9582376,0.003352889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5515263,0.00007191126,0.03609024,0.00007591477,0.0003480396,0.0006569867,0.0004587804,0.003642963,0.4071289],"genre_scores_gemma":[0.9803092,0.0005819612,0.0008401195,0.0000369888,0.00002400893,4.240182e-7,0.00005057572,0.00009898069,0.01805767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6192436,"threshold_uncertainty_score":0.9994071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452066355065173,"score_gpt":0.1621180877809559,"score_spread":0.1475974242303042,"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."}}