{"id":"W7052354252","doi":"","title":"Remodelling Canadian Lynx Data","year":2016,"lang":"en","type":"other","venue":"The Oriental (University of Naples - L'Orientale)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001900291,0.0009744323,0.0007519886,0.01212389,0.004750686,0.005129028,0.002226281,0.001119078,0.2160908],"category_scores_gemma":[0.01109523,0.0006337189,0.0008082307,0.01904342,0.0008915854,0.00136803,0.002333879,0.001659406,0.1119108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02042879,"about_ca_system_score_gemma":0.05566289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541687,"about_ca_topic_score_gemma":0.9556574,"domain_scores_codex":[0.9961611,0.0001579084,0.000183171,0.000512744,0.002283389,0.0007017519],"domain_scores_gemma":[0.9890927,0.0004656163,0.0003337325,0.0009426589,0.008290832,0.0008745108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006465778,0.00001246638,0.002678239,0.00009144996,0.0000117721,0.00005747355,0.0001883416,0.0001683852,0.00007312049,0.005275823,0.9688038,0.0225744],"study_design_scores_gemma":[0.000009121158,0.000002945611,0.007233088,0.00007866616,0.000006642266,0.00002209413,0.0002918911,0.00009830579,0.00009786783,0.0005525752,0.9915907,0.00001609354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004324696,0.0009551852,0.0008148662,0.001993328,0.0007186054,0.0001920997,0.6455533,0.0011451,0.3443028],"genre_scores_gemma":[0.01729336,0.001390979,0.002338631,0.0009344649,0.0001894944,0.0003473252,0.4468433,0.0009281895,0.5297343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2160908,"threshold_uncertainty_score":0.7228957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253656366229393,"score_gpt":0.1917735914324275,"score_spread":0.1692370277701336,"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."}}