{"id":"W7059749918","doi":"","title":"Page 72 Image 3","year":2013,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honeymoon; Climax; Image (mathematics); Training (meteorology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001656892,0.0003191588,0.0003187166,0.0003455171,0.0002224041,0.0003684664,0.0007908315,0.000317426,0.001808475],"category_scores_gemma":[0.0001178764,0.0003641936,0.0001483497,0.0006031711,0.0002214545,0.001901403,0.0003197066,0.001093086,0.001440233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686249,"about_ca_system_score_gemma":0.00003336098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001985491,"about_ca_topic_score_gemma":0.00007733617,"domain_scores_codex":[0.9982654,0.0001194001,0.0002548184,0.0003551459,0.0003073442,0.000697849],"domain_scores_gemma":[0.9984506,0.0002015266,0.00003242379,0.0007721554,0.0001601295,0.0003831017],"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":[0.0001510888,0.001093166,0.00761123,0.000627355,0.0006635098,0.001978352,0.001260992,0.0002994975,0.2234178,0.3638106,0.3164249,0.0826616],"study_design_scores_gemma":[0.004686031,0.001205779,0.07290359,0.0003167132,0.0004534988,0.0001608462,0.001691539,0.02925052,0.05761264,0.01501776,0.8120229,0.004678197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4927391,0.0002742995,0.01110119,0.001513052,0.0003155732,0.0007012608,0.0000288477,0.00267355,0.4906532],"genre_scores_gemma":[0.9777222,0.00006639384,0.01381629,0.000178442,0.00006243531,0.000005231154,0.00001511703,0.00005915717,0.008074722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495598,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008214438075601,"score_gpt":0.1778015104826191,"score_spread":0.1677193661018631,"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."}}