{"id":"W4393580592","doi":"10.5281/zenodo.224158","title":"#Cdnpoli Tweet Ids For 29 December 2016","year":2016,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.0006744794,0.001495259,0.001094862,0.004495396,0.00085753,0.002195183,0.001128654,0.001466899,0.03312137],"category_scores_gemma":[0.006905977,0.0004619241,0.0005235718,0.006969984,0.000366654,0.001661938,0.001516961,0.001450464,0.08865988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431232,"about_ca_system_score_gemma":0.002262217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0240743,"about_ca_topic_score_gemma":0.05634542,"domain_scores_codex":[0.9987143,0.0001338522,0.0001948738,0.0002607286,0.0004896468,0.0002065598],"domain_scores_gemma":[0.9979528,0.0004018118,0.0003268013,0.0004151731,0.0006295585,0.0002737484],"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":[0.00009191628,0.00001575268,0.001053673,0.0003004713,0.00001169412,0.0000387101,0.00004205807,0.0001749337,0.0002227857,0.0004960714,0.9940844,0.003467599],"study_design_scores_gemma":[0.00008939153,0.00001857807,0.005475448,0.0001458518,0.000012475,0.00007589303,0.0001190024,0.0005288502,0.0005577779,0.0007691469,0.9921805,0.00002713934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000682245,0.0001433195,0.0001073344,0.0001300978,0.0001633398,0.00002189898,0.9965341,0.0004463834,0.001771206],"genre_scores_gemma":[0.001377004,0.0001093315,0.00028158,0.00004443891,0.0000413499,0.00006553486,0.994864,0.00009565906,0.00312103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9759257,"threshold_uncertainty_score":0.1108021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072214849552302,"score_gpt":0.3723412080938753,"score_spread":0.2651197231386451,"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."}}