{"id":"W6892063780","doi":"10.48660/14110143","title":"Array Site Reports 3","year":2014,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Identification (biology); Feature (linguistics); Noise (video); Tracking (education)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002521872,0.0002722779,0.0003630818,0.0002287319,0.00001731529,0.0000277421,0.000120801,0.0002841513,0.0282604],"category_scores_gemma":[0.00008996559,0.0002543856,0.0001051858,0.0001131307,0.00004828978,0.00001534817,0.00003212328,0.0001851216,0.1999187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005507905,"about_ca_system_score_gemma":0.00003700296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003051906,"about_ca_topic_score_gemma":0.000508907,"domain_scores_codex":[0.9986858,0.00004774333,0.0002144457,0.0004574944,0.0003187695,0.0002757876],"domain_scores_gemma":[0.9982498,0.00001387777,0.0005074412,0.001109408,0.00002014263,0.00009931973],"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":[0.00000159364,0.0000170577,0.0009781856,0.00003877351,0.00004347264,0.0001418204,0.00003261389,3.659219e-7,0.00153945,0.00002371986,0.9968953,0.0002876092],"study_design_scores_gemma":[0.00007289725,0.000008459803,0.0001876382,0.0001473648,0.0000476524,0.00006331914,0.000001118695,6.869208e-7,0.0001280386,0.00007479852,0.9989634,0.0003046947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003174954,0.0005658884,0.0001428877,0.00002321058,0.0008239637,0.0002052089,0.00007396811,0.001055785,0.9970773],"genre_scores_gemma":[0.001664746,0.000007284306,0.0006746345,0.0001209638,0.001696989,0.00001908462,0.000190922,0.002705661,0.9929197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1716583,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084495573084136,"score_gpt":0.2433541674893986,"score_spread":0.2325092117585572,"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."}}