{"id":"W7059525273","doi":"","title":"Ironton, Ohio","year":2009,"lang":"hr","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alley; Front (military); Center (category theory); 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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001610127,0.0009475386,0.000822818,0.000417179,0.0001746808,0.0005588918,0.0005706742,0.001318245,0.01907455],"category_scores_gemma":[0.00001200962,0.0009784204,0.0002309231,0.0003766039,0.0001064962,0.006240175,0.0002410708,0.001118438,0.0006036092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003052631,"about_ca_system_score_gemma":0.00005041879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.99847e-7,"about_ca_topic_score_gemma":0.00000257278,"domain_scores_codex":[0.9968002,0.0001249367,0.001315932,0.0004034267,0.0003454399,0.001010048],"domain_scores_gemma":[0.9982707,0.00008771413,0.000442824,0.000794536,0.00002609192,0.0003781482],"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":[0.00005861771,0.00003859815,0.00003500413,0.0005998384,0.00009852223,0.000008749403,0.0004914319,0.0006417212,0.000003661042,0.3105028,0.6217266,0.0657945],"study_design_scores_gemma":[0.0007482204,0.0001906419,0.001214454,0.001107987,0.00005530181,0.00003534335,0.000006986063,0.007566579,0.00006271502,0.0007354433,0.9873025,0.000973872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004944932,0.002904951,0.001993933,0.0007801908,0.001318723,0.0009651316,0.0001247631,0.001558312,0.9903045],"genre_scores_gemma":[0.07294901,0.1891096,0.05602374,0.03842788,0.01738124,0.0001621835,0.009904356,0.001672095,0.6143699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3759347,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005636076393356982,"score_gpt":0.1854862791994669,"score_spread":0.1798502028061099,"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."}}