{"id":"W6931254113","doi":"10.5281/zenodo.3943768","title":"Vibration Detectors Ontario Canada","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Boron and Carbon Nanomaterials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vibration; Waveform; Detector; Range (aeronautics); Action (physics); SIGNAL (programming language); Signal processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001086968,0.001069488,0.0005975477,0.001767604,0.004713304,0.002416408,0.001711742,0.001691308,0.0868985],"category_scores_gemma":[0.001687808,0.0007903779,0.0005102353,0.001896681,0.001861844,0.0009581881,0.001740227,0.001623491,0.01805073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0238663,"about_ca_system_score_gemma":0.03760361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7544982,"about_ca_topic_score_gemma":0.913129,"domain_scores_codex":[0.9966894,0.0001095493,0.00005041908,0.000556968,0.002167404,0.0004262242],"domain_scores_gemma":[0.9957781,0.0002371085,0.0001463608,0.000177247,0.003236823,0.0004242868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001531339,0.000124351,0.02796516,0.0009777988,0.00006182242,0.0009934782,0.001656873,0.003068899,0.1157061,0.03684365,0.4685331,0.3425374],"study_design_scores_gemma":[0.0001098911,0.0002241093,0.02994291,0.0002116503,0.0000511785,0.0005984129,0.001075851,0.005417776,0.02017573,0.001682709,0.9403272,0.0001824809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05895905,0.006071046,0.06661192,0.01478593,0.002275136,0.0007977659,0.01712458,0.01006416,0.8233104],"genre_scores_gemma":[0.1908764,0.001880755,0.03614761,0.002013696,0.0001156818,0.0002145531,0.003970678,0.00073917,0.7640415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2455018,"threshold_uncertainty_score":0.4938951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908035256852043,"score_gpt":0.2103038190792108,"score_spread":0.1812234665106904,"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."}}