{"id":"W4398846971","doi":"10.7910/dvn/qi2t9a/xgmgks","title":"20200719-icews-events.zip","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Geography","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":[0.000793509,0.001607912,0.0009822882,0.002963683,0.0005517995,0.002101871,0.001981394,0.001341458,0.1376237],"category_scores_gemma":[0.00420811,0.0007089529,0.0009277544,0.005932478,0.0003399301,0.001393469,0.001354834,0.001283847,0.1499758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349721,"about_ca_system_score_gemma":0.002066892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827795,"about_ca_topic_score_gemma":0.04905434,"domain_scores_codex":[0.9994233,0.00007306776,0.00007369775,0.000180987,0.0001210134,0.000127929],"domain_scores_gemma":[0.9985592,0.0003282237,0.0002025683,0.0003371664,0.0003662585,0.0002065996],"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":[0.00004469612,0.00001382198,0.0006704361,0.0002036758,0.00001237605,0.00000920858,0.00001092816,0.0001870597,0.00004314981,0.0004465758,0.9970901,0.001267988],"study_design_scores_gemma":[0.0002546884,0.00001386488,0.004098579,0.0001836996,0.00001678179,0.00002530461,0.00006402392,0.000544694,0.0002461899,0.001136447,0.9933922,0.00002358455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006887351,0.00001457754,0.00003129329,0.00003288058,0.0000174387,0.000005878831,0.9989322,0.0001540058,0.0007428765],"genre_scores_gemma":[0.0003176422,0.00002586575,0.0001363784,0.00003501365,0.00000921992,0.00003337411,0.9984512,0.0000658596,0.0009254122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8623763,"threshold_uncertainty_score":0.4603971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08840101172775762,"score_gpt":0.3719639889178222,"score_spread":0.2835629771900646,"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."}}