{"id":"W4399522539","doi":"10.32614/cran.package.tools4uplift","title":"tools4uplift: Tools for Uplift Modeling","year":2019,"lang":"en","type":"dataset","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Geology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002891791,0.004341172,0.00156144,0.004630934,0.001001693,0.002973948,0.005705128,0.002733035,0.07017741],"category_scores_gemma":[0.01475936,0.001315338,0.003216551,0.004652064,0.0006472107,0.002449184,0.003683831,0.003353766,0.06171332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735171,"about_ca_system_score_gemma":0.00311603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411379,"about_ca_topic_score_gemma":0.05396778,"domain_scores_codex":[0.9983168,0.0004307588,0.0002242747,0.0004488129,0.0003779707,0.000201441],"domain_scores_gemma":[0.994859,0.003044951,0.0002505085,0.001042456,0.0005799801,0.000223172],"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":[0.00009696113,0.00006777111,0.001248148,0.000819255,0.00006732789,0.00006939294,0.00006406778,0.00355734,0.0001784431,0.002668552,0.9815997,0.009563057],"study_design_scores_gemma":[0.0007829481,0.00006078733,0.002255815,0.0004557568,0.00007368509,0.000133905,0.0001616562,0.0279461,0.001817682,0.02774707,0.9384611,0.0001035395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006935316,0.0002895931,0.007708447,0.0004261483,0.0001373287,0.0001078638,0.9631592,0.02543088,0.002047028],"genre_scores_gemma":[0.002482607,0.0002061064,0.01440002,0.0002077696,0.00002444486,0.0007401307,0.9785084,0.001918884,0.001511636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07017741,"threshold_uncertainty_score":0.2347668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5041527782014337,"score_gpt":0.5172241598726531,"score_spread":0.01307138167121946,"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."}}