{"id":"W4398663704","doi":"10.7910/dvn/azvm5x/ssvw6r","title":"map_avatar.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Avatar; XML; Computer science; World Wide Web; Database; Human–computer interaction","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":[0.001372671,0.003361819,0.001674134,0.006387001,0.001142743,0.004271367,0.004435757,0.003138032,0.1660146],"category_scores_gemma":[0.009323119,0.001242922,0.001587197,0.0100322,0.000682509,0.002867418,0.003932498,0.002370333,0.19048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825342,"about_ca_system_score_gemma":0.002665548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238885,"about_ca_topic_score_gemma":0.03092252,"domain_scores_codex":[0.9985175,0.0002744471,0.0002269304,0.0004127041,0.000299082,0.000269392],"domain_scores_gemma":[0.9964483,0.001026394,0.0003034597,0.001171597,0.000652717,0.0003974871],"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":[0.00003645875,0.00001373278,0.0003356225,0.0005322393,0.00002048646,0.00001500732,0.00002612426,0.0001381232,0.00006519096,0.0006215015,0.9968556,0.001339861],"study_design_scores_gemma":[0.0002115031,0.00001256522,0.001417877,0.0003235394,0.00002115776,0.00004912436,0.00009395172,0.0003602438,0.0003111575,0.001620355,0.995551,0.00002753026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005606477,0.00002776366,0.00006007941,0.00005668444,0.00001937415,0.000007011442,0.9984158,0.0007032483,0.0006539074],"genre_scores_gemma":[0.000293205,0.00004722076,0.0002306655,0.00004279846,0.000006120312,0.00005365852,0.9986404,0.0002011626,0.0004846717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339854,"threshold_uncertainty_score":0.5553743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062461120718998,"score_gpt":0.2896533294768283,"score_spread":0.2590287182696383,"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."}}