{"id":"W4389578607","doi":"10.7185/gold2023.15502","title":"Duration and lifetime of LIPS: knowns and unknowns","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Duration (music); Computer science; Physics","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":[0.002275381,0.0003824864,0.0004063886,0.001218595,0.0006461534,0.001691556,0.00116662,0.001149003,0.004728425],"category_scores_gemma":[0.009237877,0.0003882976,0.0004534074,0.0006876551,0.002053862,0.005378797,0.001273135,0.00118766,0.001080088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024539,"about_ca_system_score_gemma":0.0004184423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008546766,"about_ca_topic_score_gemma":0.0004841332,"domain_scores_codex":[0.9994122,0.00007316779,0.00003786437,0.0002459992,0.0001287541,0.000101997],"domain_scores_gemma":[0.9955888,0.002274345,0.0007312718,0.0006949404,0.0004535803,0.0002570314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001410911,0.0002016699,0.05297483,0.00148637,0.0002039031,0.0007707368,0.00300246,0.07478984,0.1449504,0.4967667,0.004801465,0.2186407],"study_design_scores_gemma":[0.00008484558,0.0005358874,0.0893587,0.0007316411,0.0003188117,0.002972271,0.002609517,0.3344069,0.1005884,0.4211625,0.04676342,0.0004669454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6234929,0.02875473,0.3018905,0.002786514,0.00066463,0.00009680228,0.001995508,0.0005831125,0.03973534],"genre_scores_gemma":[0.9825709,0.003564908,0.00718494,0.0001130597,0.0001972548,0.00003920372,0.0003687317,0.0001223944,0.005838483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728425,"threshold_uncertainty_score":0.01581818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00843179474906756,"score_gpt":0.2163620185011916,"score_spread":0.2079302237521241,"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."}}