{"id":"W4398450146","doi":"10.7910/dvn/5dklvi/kftbjp","title":"Njunge_CTX_15092020.tab","year":2020,"lang":"eu","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001353322,0.002911661,0.002346873,0.005770682,0.001217489,0.004823938,0.004398067,0.00344776,0.3530221],"category_scores_gemma":[0.00937859,0.001295976,0.001677029,0.00992863,0.0008351174,0.003059002,0.003378004,0.002155959,0.3375981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407273,"about_ca_system_score_gemma":0.002992658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799234,"about_ca_topic_score_gemma":0.03656678,"domain_scores_codex":[0.998799,0.0002071386,0.0001249891,0.0003803392,0.0002378609,0.000250571],"domain_scores_gemma":[0.9967939,0.001010242,0.0002931827,0.0007857276,0.0007300886,0.0003869352],"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":[0.0000427171,0.00000724492,0.0001732073,0.0005006951,0.00001939477,0.000008192723,0.00001137499,0.0001079888,0.00005862102,0.0004662472,0.9978498,0.0007544282],"study_design_scores_gemma":[0.0003199218,0.000019357,0.001613381,0.0003913148,0.00003373555,0.0000408201,0.00005121692,0.0002633824,0.0003013811,0.001557012,0.99537,0.00003846322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002833619,0.00004173835,0.00002489636,0.00005760639,0.00002078431,0.000004077037,0.9988915,0.0003318185,0.0005992316],"genre_scores_gemma":[0.0002008962,0.00005628702,0.0001146093,0.00007287812,0.00001103461,0.00004224098,0.9985296,0.0001968928,0.0007755684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6469779,"threshold_uncertainty_score":0.9228355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902473807242439,"score_gpt":0.2583408314904961,"score_spread":0.2293160934180717,"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."}}