{"id":"W4399581560","doi":"10.32614/cran.package.pisart","title":"pisaRT: Small Example Response and Response Time Data from PISA 2018","year":2020,"lang":"en","type":"dataset","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Response time; Response analysis; Computer science; Engineering; Computer graphics (images)","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":[0.00508491,0.002004395,0.001505478,0.005155826,0.002448795,0.002883059,0.005007152,0.001776185,0.1487065],"category_scores_gemma":[0.04085306,0.001382639,0.002097846,0.01524967,0.0007646471,0.001750455,0.002786653,0.003103451,0.1239755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007588627,"about_ca_system_score_gemma":0.01497436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4036292,"about_ca_topic_score_gemma":0.524425,"domain_scores_codex":[0.9936002,0.001191865,0.0008400696,0.001121129,0.002246576,0.001000231],"domain_scores_gemma":[0.9704404,0.005998881,0.002186907,0.006580564,0.01344378,0.00134948],"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":[0.00008309044,0.00001883996,0.000896367,0.0001881565,0.00002249802,0.000007490687,0.00002794759,0.00006880744,0.00002061098,0.0001519359,0.9970551,0.001459218],"study_design_scores_gemma":[0.0005753713,0.00003513166,0.04984033,0.0005366402,0.00008930304,0.00004508819,0.0002653217,0.000474984,0.0004720321,0.0008277456,0.9467422,0.000095843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001813053,0.00001571277,0.00006672481,0.00006696815,0.00002288382,0.00005488304,0.9984909,0.0001980735,0.0009024781],"genre_scores_gemma":[0.000676415,0.00001989582,0.0002535665,0.00005655184,0.00001088134,0.0006638467,0.9964395,0.00008941579,0.001789838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4036292,"threshold_uncertainty_score":0.8025597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309839819376977,"score_gpt":0.3474911675262926,"score_spread":0.2165071855885949,"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."}}