{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006535523,0.0001582292,0.0001469328,0.00002256327,0.00006419217,0.0000348623,0.0003580381,0.0002717418,0.00008780917],"category_scores_gemma":[0.00009453057,0.0001080246,0.0001129972,0.00000667609,0.00004551889,6.937274e-7,0.0001236865,0.00004433449,0.00002355742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000794357,"about_ca_system_score_gemma":0.00006093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001906234,"about_ca_topic_score_gemma":0.0002060575,"domain_scores_codex":[0.9994037,0.000008652817,0.00007907053,0.0002999207,0.00005596372,0.000152747],"domain_scores_gemma":[0.9991173,0.000005461763,0.000161053,0.0006522602,0.00001845229,0.00004550281],"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":[0.00001544805,0.00001520481,0.0001267698,0.0001295633,0.00005870886,0.00000105105,0.000007691085,0.000001665254,0.01199536,0.00005070058,0.9785265,0.009071327],"study_design_scores_gemma":[0.0001602506,0.00007182745,0.00005542874,0.0002174744,0.00002674759,0.000002243947,0.000004251757,0.00003726959,0.00098333,0.00009747717,0.9981464,0.0001973734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001833428,0.02555893,0.0174701,0.001590526,0.00330741,0.002076445,0.0009803144,0.0001284335,0.9470544],"genre_scores_gemma":[0.006164901,0.001828242,0.002543982,0.00008245758,0.00124829,0.00006317483,0.0002641066,0.0002335305,0.9875713],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04051691,"threshold_uncertainty_score":0.4405116,"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."}}