{"id":"W2746246707","doi":"","title":"APT: An Autonomous Tool for Measuring Acceleration, Pressure, and Temperature with Large Dynamic Range and Bandwidth","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Acceleration; Bandwidth (computing); Range (aeronautics); Computer science; Dynamic range; Physics; Engineering; Telecommunications; Aerospace engineering; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0004717607,0.0001948595,0.0002298545,0.00004614304,0.0001849919,0.0001276956,0.00006261884,0.00008833026,4.142349e-7],"category_scores_gemma":[0.000045921,0.0001607794,0.00001739989,0.00005624926,0.00002539342,0.0002772924,0.00001760246,0.0001304737,7.130152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002157247,"about_ca_system_score_gemma":0.00002398735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005446849,"about_ca_topic_score_gemma":0.00145234,"domain_scores_codex":[0.9991399,0.00002489653,0.0001697099,0.0002379113,0.0001311375,0.0002964684],"domain_scores_gemma":[0.9995891,0.00004603096,0.00001184368,0.0001239401,0.0001160108,0.0001130565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00122133,0.0005689284,0.6727862,0.009634176,0.003186996,0.00009135927,0.1013311,0.08476862,0.07716653,0.00171864,0.009667883,0.03785823],"study_design_scores_gemma":[0.02508979,0.001950736,0.1767751,0.001929892,0.001527595,0.0002254545,0.005708979,0.723352,0.008846695,0.000794624,0.04882891,0.004970225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897804,0.006478871,0.002163116,0.00008700901,0.0001217783,0.0004192772,0.00004043498,0.0002988274,0.0006102888],"genre_scores_gemma":[0.9969971,0.0000918493,0.002561214,0.00003200936,0.0001134511,0.00005862396,0.00001596333,0.0000443915,0.00008535856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385834,"threshold_uncertainty_score":0.6556393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883750257104022,"score_gpt":0.2365065283141101,"score_spread":0.2176690257430698,"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."}}