{"id":"W4248981500","doi":"10.26522/ti.v2i1.757","title":"Blind","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002990821,0.00002363048,0.00002525703,0.00001772437,0.00001099445,0.00001381702,0.00004800119,0.00001199939,0.008099023],"category_scores_gemma":[0.00001271675,0.00002009281,0.000008953798,0.00005567586,0.00001195608,0.00006154767,0.00001286658,0.00002495095,0.606204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008664799,"about_ca_system_score_gemma":0.000004727544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000781729,"about_ca_topic_score_gemma":0.000004338969,"domain_scores_codex":[0.9997855,0.000006080548,0.00002959827,0.00004510111,0.0000540135,0.00007968034],"domain_scores_gemma":[0.9998276,0.000006136332,0.000008787309,0.0001111558,0.00001710643,0.00002925758],"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":[0.000005860765,0.00004001266,0.003383311,0.000002386663,0.00000877673,0.000002074381,0.0002005844,0.000003258415,0.07050035,0.001344376,0.9176081,0.006900846],"study_design_scores_gemma":[0.001491748,0.0000473405,0.2238642,0.000008909084,0.00001281204,0.000009088481,0.00007334531,0.00107037,0.01812057,0.0064629,0.7485638,0.0002749817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352844,0.00001995891,0.000003569439,0.0001263469,0.00003133003,0.00006163641,0.000001618784,0.00008609259,0.1643851],"genre_scores_gemma":[0.9869607,1.695367e-7,0.000240879,0.00007656567,0.00005493938,0.000007934264,0.000001876139,0.00001595473,0.01264099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598105,"threshold_uncertainty_score":0.9928077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942665574120598,"score_gpt":0.2636163904505499,"score_spread":0.2341897347093439,"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."}}