{"id":"W4398746928","doi":"10.7910/dvn/a7ooem/h3wb0e","title":"101209_cop16_hls_canada.pdf","year":2020,"lang":"uk","type":"dataset","venue":"Harvard Dataverse","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004988557,0.001046416,0.0009673698,0.0001253317,0.0005737182,0.0002955349,0.002512975,0.0006842414,0.7523309],"category_scores_gemma":[0.0002951518,0.001122781,0.0002608307,0.000549613,0.0008450712,0.001073384,0.002969588,0.001324998,0.9835941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262937,"about_ca_system_score_gemma":0.0003099175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023983,"about_ca_topic_score_gemma":0.002554172,"domain_scores_codex":[0.9933676,0.0003178117,0.001042525,0.001893788,0.001669837,0.001708399],"domain_scores_gemma":[0.9943889,0.0001236861,0.0004861417,0.002345857,0.000008057957,0.002647333],"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":[0.00008604173,0.0002301139,0.0002313689,0.0002440375,0.00007179785,0.0004523213,0.00009982086,0.00002869165,0.0001639479,0.00001167201,0.9955569,0.002823302],"study_design_scores_gemma":[0.0007658568,0.0002629985,0.001599526,0.00009512217,0.0001710519,0.00004255868,0.0002985154,0.0001601416,0.00008026508,0.00002345308,0.9953923,0.001108236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001610281,0.00000458062,0.00003244399,0.0002703936,0.001466837,0.0008247559,0.9828234,0.00007938218,0.01433723],"genre_scores_gemma":[0.0006101931,0.002990735,0.000549698,0.008542815,0.0007539059,0.00006878548,0.9798656,0.00008311347,0.006535154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2312631,"threshold_uncertainty_score":0.9991222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364064685898617,"score_gpt":0.2277534537760041,"score_spread":0.214112806917018,"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."}}