{"id":"W7058793842","doi":"","title":"Cover credits","year":2001,"lang":"en","type":"article","venue":"Archivaria","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003376977,0.00006613191,0.00006299604,0.00003729476,0.00001595727,0.00001191951,0.00009954011,0.00003160653,0.001126636],"category_scores_gemma":[0.0000168791,0.00006748407,0.00002132201,0.00005768816,0.00001414169,0.00003317654,0.00001876487,0.00009731283,0.0003112286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006246484,"about_ca_system_score_gemma":0.000003325443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002033365,"about_ca_topic_score_gemma":0.000001201988,"domain_scores_codex":[0.9996268,0.000008511588,0.00008096618,0.00007181271,0.00006614831,0.0001458052],"domain_scores_gemma":[0.9997212,0.00004397751,0.000004972881,0.0001842759,0.000005605178,0.00003997805],"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":[0.00002181678,0.00004184372,0.001347105,0.00005712668,0.00004884827,0.0001502591,0.0009988673,0.002024252,0.0558787,0.2945943,0.5931212,0.05171577],"study_design_scores_gemma":[0.000330615,0.00008846949,0.02552364,0.0000263333,0.00001423521,0.00009204489,0.000008833753,0.04386777,0.01254522,0.08749203,0.8295907,0.0004201265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04281516,0.00003457562,0.02583421,0.0001257789,0.0002133792,0.00007235422,0.000001829601,0.0007759538,0.9301268],"genre_scores_gemma":[0.9888816,0.00006734213,0.008962898,0.0001020733,0.0001383959,0.000007240551,0.000002873733,0.00001684102,0.001820692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9460665,"threshold_uncertainty_score":0.9997865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007821393102945488,"score_gpt":0.2030803226524572,"score_spread":0.1952589295495117,"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."}}