{"id":"W1490561113","doi":"","title":"Magnetic pattern recognition sensor arrays using CCD readout","year":2014,"lang":"en","type":"article","venue":"Cambridge University Engineering Department Publications Database","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Computer science; Sensitivity (control systems); SIGNAL (programming language); Channel (broadcasting); Linearity; Noise (video); Electrical engineering; Computer hardware; Electronic engineering; Materials science; Acoustics; Physics; Engineering; Artificial intelligence; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001862246,0.0002531406,0.0001789353,0.0004661889,0.0001281117,0.00006983391,0.0002947443,0.00007650572,0.00002800439],"category_scores_gemma":[0.0001499042,0.0003407922,0.0000609815,0.0005227808,0.00004330718,0.0005985724,0.00009898915,0.0002168662,0.00007468244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953172,"about_ca_system_score_gemma":0.00002522518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003843312,"about_ca_topic_score_gemma":0.000003207023,"domain_scores_codex":[0.9989009,0.00003986412,0.0001946795,0.0003395553,0.000166247,0.0003587931],"domain_scores_gemma":[0.9988219,0.0001018753,0.00004976418,0.0006939426,0.0001373384,0.0001952172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001029057,0.001658791,0.04345111,0.003368465,0.001290724,0.000377054,0.0004930578,0.05823245,0.5448723,0.1369759,0.1481245,0.06105274],"study_design_scores_gemma":[0.001693275,0.000166175,0.01500767,0.0003893875,0.0004201863,0.0001986768,0.0001040076,0.8805785,0.01120072,0.0001229198,0.08775438,0.002364166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2632905,0.00002959163,0.7288668,0.00005583667,0.0001776352,0.0003192077,0.0007195125,0.002601332,0.003939629],"genre_scores_gemma":[0.4063702,0.0000481482,0.5905246,0.00003790523,0.0001565487,0.00001590672,0.002643089,0.0001017427,0.0001018432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.822346,"threshold_uncertainty_score":0.9999044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983062388428004,"score_gpt":0.2025313300609544,"score_spread":0.1827007061766744,"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."}}