{"id":"W6921458217","doi":"10.7281/t1/bmathh/yxxnoe","title":"16_B5.tar.005","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Set (abstract data type); Telmatology","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":["insufficient_payload"],"category_scores_codex":[0.001064649,0.002293241,0.001579372,0.004310891,0.001247114,0.002982735,0.003351672,0.002182964,0.3353745],"category_scores_gemma":[0.007492163,0.0008672423,0.001270112,0.008832244,0.0005447439,0.001755913,0.002134729,0.001675321,0.3496014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947656,"about_ca_system_score_gemma":0.003140678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04518422,"about_ca_topic_score_gemma":0.05684609,"domain_scores_codex":[0.9986762,0.0002083217,0.0001861464,0.000387934,0.000281133,0.0002602437],"domain_scores_gemma":[0.9962403,0.0009943479,0.0002622459,0.0009116299,0.001214712,0.0003768214],"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":[0.0000414935,0.00001119197,0.000146476,0.0002393431,0.000007330347,0.000007446735,0.000009242422,0.00007035855,0.00005187711,0.0001911441,0.9984207,0.0008032881],"study_design_scores_gemma":[0.0002471379,0.00002195041,0.002624335,0.0002143985,0.00002185741,0.0000390578,0.00009281097,0.0002882998,0.0004683413,0.00115697,0.994795,0.00002970074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004713009,0.00001790003,0.00003801748,0.00003953924,0.00001665899,0.000007231122,0.9988039,0.0003475565,0.0006821263],"genre_scores_gemma":[0.000235107,0.00002342959,0.0001430652,0.00003144221,0.000008152263,0.00004043397,0.9983141,0.0001510889,0.001053259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6646255,"threshold_uncertainty_score":0.9480076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2101316436127213,"score_gpt":0.39651910866392,"score_spread":0.1863874650511988,"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."}}