{"id":"W4398568323","doi":"10.7910/dvn/bax2ui/gepjmp","title":"map_question.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; XML; Information retrieval; Programming language; World Wide Web","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":[0.001815361,0.004828633,0.001986317,0.007150256,0.001533245,0.005032149,0.005032968,0.004649923,0.2291841],"category_scores_gemma":[0.01140148,0.001446463,0.002042806,0.009697705,0.001012879,0.004750292,0.005038028,0.002697509,0.2933187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00246817,"about_ca_system_score_gemma":0.003100817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02595245,"about_ca_topic_score_gemma":0.03725751,"domain_scores_codex":[0.9979381,0.0004207486,0.0002205422,0.0006763281,0.0004043356,0.0003398705],"domain_scores_gemma":[0.9958632,0.001207441,0.0002689197,0.001395536,0.000859394,0.0004055767],"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":[0.00003868068,0.00001484138,0.00022469,0.0005377291,0.00002146127,0.00001276154,0.00003361966,0.0001276192,0.00009558944,0.000503701,0.9971043,0.001285026],"study_design_scores_gemma":[0.0002052882,0.00002232629,0.001250088,0.0002679435,0.00002238146,0.0000524432,0.0001251287,0.0004987444,0.0005434312,0.002195468,0.9947779,0.00003889584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009460622,0.00006432366,0.00009321314,0.000144473,0.00004122898,0.00001290709,0.9963568,0.001891175,0.001301278],"genre_scores_gemma":[0.0004043595,0.00006239676,0.0002788115,0.00009139963,0.00001206293,0.00005259362,0.997713,0.0005082052,0.0008772507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7708158,"threshold_uncertainty_score":0.7666973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567475798138303,"score_gpt":0.2694687558592887,"score_spread":0.2437939978779057,"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."}}