{"id":"W6929446456","doi":"10.48660/17110074","title":"Discussion: Evidence for Echoes","year":2017,"lang":"en","type":"other","venue":"PIRSA","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Noise (video); Feature (linguistics); Perspective (graphical); Margin (machine learning); Component (thermodynamics)","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":[0.01021092,0.0005359685,0.000501352,0.001632296,0.002967389,0.005879435,0.002468503,0.004668276,0.08487737],"category_scores_gemma":[0.03019787,0.000216261,0.0006159014,0.002013384,0.00556033,0.005362942,0.004384666,0.006462439,0.01250046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398115,"about_ca_system_score_gemma":0.003513269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392411,"about_ca_topic_score_gemma":0.004833429,"domain_scores_codex":[0.9968522,0.000692029,0.0001893162,0.0006620166,0.001074565,0.0005298305],"domain_scores_gemma":[0.979814,0.01108068,0.0009577363,0.002942472,0.003166426,0.002038673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006495633,0.00009132777,0.006142829,0.0006469186,0.00006281668,0.0009842174,0.001893161,0.0003560187,0.002419802,0.4983115,0.3836981,0.1047439],"study_design_scores_gemma":[0.00004872857,0.00002221151,0.002739388,0.0003152985,0.00003002071,0.0004852386,0.001693344,0.0004259756,0.002340251,0.09709372,0.8947791,0.00002670411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01461864,0.0061953,0.007909324,0.3405841,0.01295131,0.00006056879,0.002899962,0.0004932505,0.6142876],"genre_scores_gemma":[0.5130935,0.01184592,0.01052236,0.1703447,0.01920568,0.0003167881,0.005008483,0.001427079,0.2682355],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08487737,"threshold_uncertainty_score":0.2839431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432683452087843,"score_gpt":0.3003754495823366,"score_spread":0.2760486150614582,"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."}}