{"id":"W4398297302","doi":"10.7910/dvn/db11yd/bnki8r","title":"PROSPERED data manual - patleave 122018.pdf","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","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":[],"category_scores_codex":[0.002837339,0.002587129,0.001670165,0.005743806,0.001201214,0.004251911,0.00353846,0.002662385,0.277049],"category_scores_gemma":[0.01401184,0.001260154,0.001569206,0.007264761,0.0008817419,0.002855855,0.003373257,0.002401365,0.3700763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689681,"about_ca_system_score_gemma":0.003195185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650584,"about_ca_topic_score_gemma":0.03676696,"domain_scores_codex":[0.9980406,0.0004046237,0.0002580905,0.0005392089,0.0004488388,0.0003086434],"domain_scores_gemma":[0.9932758,0.002063082,0.000444382,0.002091265,0.001508098,0.0006174283],"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":[0.00001930046,0.000006538716,0.0001368494,0.0002462141,0.000009492333,0.000005670607,0.00001025628,0.0000440897,0.00003518444,0.0002248316,0.9984498,0.0008116506],"study_design_scores_gemma":[0.0002008238,0.00001443036,0.001163014,0.0002286951,0.00001722075,0.00003741686,0.00004806675,0.0001695924,0.0002302256,0.001305387,0.9965603,0.00002485785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005032093,0.00004259671,0.00006806909,0.00008534855,0.00002718331,0.0000106685,0.9979104,0.0008281843,0.0009771611],"genre_scores_gemma":[0.0002338548,0.00004569251,0.0002824644,0.00008106978,0.00001110202,0.00007816759,0.9975798,0.0003927549,0.001295226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.722951,"threshold_uncertainty_score":0.9268212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991491936616748,"score_gpt":0.2994815778529708,"score_spread":0.2495666584868033,"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."}}