{"id":"W6948518783","doi":"10.5281/zenodo.1162251","title":"GEM-MACH-PAH, rev2488","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Executable; Code (set theory); Extension (predicate logic); Source code; Code of practice; Phase (matter)","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":[0.00107494,0.001589128,0.0009286206,0.0007469866,0.0007608794,0.001475095,0.003009226,0.001481114,0.1043954],"category_scores_gemma":[0.002729178,0.0009959751,0.001271113,0.0009591084,0.0004027077,0.00297257,0.001656559,0.002277835,0.07434394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255843,"about_ca_system_score_gemma":0.001368636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007064441,"about_ca_topic_score_gemma":0.005295338,"domain_scores_codex":[0.9995474,0.00008226035,0.0000289458,0.0001235434,0.0001530412,0.00006475942],"domain_scores_gemma":[0.999465,0.000122982,0.00004827872,0.0001468164,0.0001528763,0.00006400272],"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":[0.0004077192,0.0001141536,0.002338421,0.000745396,0.0001752415,0.000173869,0.0001575702,0.03315088,0.005002906,0.0260559,0.901876,0.02980193],"study_design_scores_gemma":[0.0004795942,0.0000640349,0.001214679,0.00008790076,0.00005721758,0.0001390027,0.00005399839,0.08641982,0.01350087,0.01425478,0.8836565,0.00007153092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.01905297,0.0008627046,0.1194877,0.001206063,0.0009181101,0.0004662939,0.2848703,0.3802595,0.1928762],"genre_scores_gemma":[0.08968925,0.0007787424,0.1679984,0.00124769,0.0002386841,0.001094212,0.4258133,0.2338695,0.07927031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1043954,"threshold_uncertainty_score":0.3492374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370974623696716,"score_gpt":0.2438759038627588,"score_spread":0.2067784414930872,"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."}}