{"id":"W7113612329","doi":"","title":"QWHE sensors for real time magnetic imaging under High Temperature conditions using an MFL scanning system","year":2023,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Temperature measurement; Noise (video); Thermography; Feature (linguistics); Magnetometer","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":[0.0005738767,0.0003725007,0.0003589475,0.0004527582,0.0003628506,0.0005182761,0.0008622971,0.0007048717,0.005164727],"category_scores_gemma":[0.0007264848,0.0002958502,0.0001085708,0.00030002,0.0003623097,0.0009610289,0.0003576117,0.000305312,0.00139426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333124,"about_ca_system_score_gemma":0.0004330885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129155,"about_ca_topic_score_gemma":0.003958333,"domain_scores_codex":[0.999478,0.00006095944,0.00002689453,0.0001222583,0.0002760763,0.00003571785],"domain_scores_gemma":[0.9995388,0.0001242733,0.00007274524,0.00003966868,0.0002037536,0.00002070429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008328175,0.00001303822,0.0001727297,0.00006183617,0.000003321692,0.00003811531,0.00005403954,0.0001035962,0.9857458,0.0005417164,0.001085276,0.01209727],"study_design_scores_gemma":[0.00002630222,0.0001931461,0.002001839,0.00002032957,0.00001180372,0.000415355,0.00005519267,0.008504377,0.9746813,0.0002241532,0.01382905,0.00003710426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478877,0.002615584,0.4180831,0.002057628,0.0005488198,0.0003997729,0.00131109,0.006935817,0.02016046],"genre_scores_gemma":[0.7936603,0.0005362307,0.1768623,0.0005792013,0.00007007681,0.0002336678,0.0002867409,0.0001899574,0.02758146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005164727,"threshold_uncertainty_score":0.01727766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05013651408182986,"score_gpt":0.2849679965542095,"score_spread":0.2348314824723797,"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."}}