{"id":"W4398906221","doi":"10.7910/dvn/qomp7w/toxqp7","title":"map_node_section.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":"Section (typography); XML; Node (physics); Computer science; Database; World Wide Web; Operating system; Engineering","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":[0.001631445,0.004024131,0.00213023,0.006657642,0.001387782,0.004694881,0.004663371,0.003468449,0.2116201],"category_scores_gemma":[0.009798642,0.001447571,0.001701223,0.009398652,0.0009127998,0.003567447,0.003994368,0.002560705,0.2615317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065068,"about_ca_system_score_gemma":0.003338076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272495,"about_ca_topic_score_gemma":0.03389377,"domain_scores_codex":[0.9984106,0.0002799716,0.0001960906,0.0004922507,0.0003311871,0.0002897666],"domain_scores_gemma":[0.996385,0.001048204,0.0002584389,0.001135187,0.0007753946,0.0003977417],"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":[0.00003972548,0.00001429602,0.000246874,0.0007095062,0.00002563576,0.00001367041,0.00003345157,0.0001401383,0.0001313328,0.0005601282,0.9968431,0.001242151],"study_design_scores_gemma":[0.0002026365,0.00001771648,0.001173986,0.0003018704,0.00002669082,0.00004833742,0.00008521933,0.0002989063,0.0005782408,0.001729961,0.9954993,0.00003702629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006705313,0.00005162061,0.00008031226,0.00007675628,0.00003072801,0.00001052158,0.9977025,0.001109125,0.0008714547],"genre_scores_gemma":[0.0002800806,0.00006119147,0.0002539004,0.000060022,0.00000819761,0.00005834038,0.9982621,0.0003726071,0.0006435256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7883799,"threshold_uncertainty_score":0.7079397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534315337531504,"score_gpt":0.2613438276340888,"score_spread":0.2360006742587737,"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."}}