{"id":"W6990053173","doi":"","title":"Crawldata from University of North Texas from 2004-12-24T02:05:24PDT to 2004-12-24T05:45:48PDT","year":2004,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; North west; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001806595,0.001818984,0.001329679,0.009776159,0.003103434,0.004473229,0.001738091,0.001299618,0.1674206],"category_scores_gemma":[0.01167176,0.00158521,0.0008383572,0.01236436,0.0005199721,0.002663874,0.0024493,0.00202506,0.19554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002930952,"about_ca_system_score_gemma":0.007877858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09889187,"about_ca_topic_score_gemma":0.1579438,"domain_scores_codex":[0.9980432,0.0001554332,0.0001888882,0.0004318084,0.0009636318,0.0002170291],"domain_scores_gemma":[0.9914252,0.000950562,0.0003890411,0.002557927,0.003837709,0.0008396035],"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":[0.00004133057,0.00001844028,0.0002886716,0.00006603114,0.000007763496,0.00001409119,0.00005805888,0.00003525169,0.0001891892,0.0001661391,0.9933251,0.005790058],"study_design_scores_gemma":[0.00008284827,0.00001946299,0.006914997,0.00008420424,0.00002381633,0.000042315,0.0001414712,0.0006058205,0.001648585,0.0005917879,0.9898087,0.00003603708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002567379,0.0003118658,0.002216616,0.001564776,0.0006590041,0.0003394257,0.9089259,0.04003363,0.04338145],"genre_scores_gemma":[0.002957174,0.0004175919,0.004606206,0.0002052056,0.000077318,0.0004843735,0.9072695,0.005408614,0.07857408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8325794,"threshold_uncertainty_score":0.5600775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631045435565606,"score_gpt":0.2122460209938089,"score_spread":0.1959355666381528,"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."}}