{"id":"W6982228913","doi":"","title":"High temperature integrated ultrasonic transducers for light-weight metal process monitoring","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrasonic sensor; Process (computing); Transducer; Temperature measurement; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009100114,0.0002213087,0.0003923513,0.0007496514,0.0008471152,0.0006635262,0.0006797457,0.001096383,0.03259574],"category_scores_gemma":[0.003186156,0.0002801763,0.0001572592,0.0004319694,0.0003037795,0.001112796,0.0004411821,0.0006199952,0.01306908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840997,"about_ca_system_score_gemma":0.0005676273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006648933,"about_ca_topic_score_gemma":0.002621058,"domain_scores_codex":[0.9986295,0.0001267307,0.00005096434,0.0001543728,0.0009632994,0.00007518922],"domain_scores_gemma":[0.9964534,0.0004205393,0.0001869558,0.000257077,0.002537319,0.0001447361],"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":[0.0005278247,0.0001666445,0.008383919,0.000418471,0.00001988423,0.0004422246,0.0003823182,0.0001720111,0.7943492,0.0007944422,0.02253126,0.1718118],"study_design_scores_gemma":[0.0001055806,0.0008045715,0.04402941,0.00006217624,0.00007034232,0.001220096,0.0007258619,0.004808948,0.834538,0.000624809,0.1129417,0.00006862168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011546,0.002626377,0.07262094,0.004877178,0.004467588,0.001231096,0.001331233,0.003294865,0.1083961],"genre_scores_gemma":[0.7198113,0.001001268,0.0333266,0.0004042645,0.000602365,0.0002582342,0.001034285,0.0004390908,0.2431226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03259574,"threshold_uncertainty_score":0.1090437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329189497411886,"score_gpt":0.2247957553172339,"score_spread":0.211503860343115,"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."}}