{"id":"W1540031158","doi":"10.2139/ssrn.1369209","title":"Emulation in Teams and Families","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Emulation; Computer science; Data science; Psychology; Social psychology","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":[0.004090466,0.0004616155,0.001090457,0.0008105773,0.001890589,0.002229301,0.001123859,0.001498851,0.01458088],"category_scores_gemma":[0.02589665,0.0002768869,0.0007812812,0.0007125553,0.002238308,0.004486638,0.002674088,0.001150098,0.0005407837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009210799,"about_ca_system_score_gemma":0.0007994846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252462,"about_ca_topic_score_gemma":0.0006784943,"domain_scores_codex":[0.9964272,0.002528621,0.0000936319,0.0003723523,0.0001867152,0.0003914344],"domain_scores_gemma":[0.97823,0.01444509,0.002524296,0.002326852,0.0009839794,0.001489684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002899149,0.0001597589,0.003329688,0.00004481291,0.0000392911,0.0001773569,0.00153167,0.01195383,0.000313219,0.9555541,0.002268753,0.02433766],"study_design_scores_gemma":[0.00010939,0.0001405554,0.001205372,0.00002214341,0.00002189249,0.0001793075,0.001670994,0.0570608,0.0002981503,0.9371666,0.002111207,0.00001355608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.810536,0.0003095041,0.1327464,0.002298908,0.0001059157,0.00007303722,0.0001465875,0.0001503891,0.05363324],"genre_scores_gemma":[0.9902225,0.00006295971,0.005181691,0.00005967679,0.00002593358,0.00005178509,0.00003814262,0.00001511135,0.004342285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458088,"threshold_uncertainty_score":0.04877788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060122574861447,"score_gpt":0.3075231490266084,"score_spread":0.2969219232779939,"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."}}