{"id":"W6922015604","doi":"10.11575/prism/33977","title":"Aunt Laura’s Promise","year":2009,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aunt; George (robot); Nephew and niece; Nothing; Undoing; Payment; Reincarnation; Possession (linguistics)","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":[0.001178185,0.0006889825,0.0003698053,0.0004021607,0.01534883,0.003774169,0.0008592837,0.004253365,0.03570908],"category_scores_gemma":[0.004869984,0.0004174887,0.0003654473,0.000296783,0.00332296,0.003466499,0.002548052,0.01087625,0.008731061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004476635,"about_ca_system_score_gemma":0.002823096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0484381,"about_ca_topic_score_gemma":0.1022473,"domain_scores_codex":[0.998226,0.0005482671,0.00003256509,0.000300278,0.0004280699,0.0004648099],"domain_scores_gemma":[0.998965,0.0002509697,0.00006721075,0.00008425181,0.0003188436,0.0003137415],"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":[0.0000393473,0.00002897638,0.0007000198,0.00003033532,0.00000835995,0.002811041,0.03642333,0.00007230757,0.000391916,0.1131941,0.8306677,0.01563243],"study_design_scores_gemma":[0.000002189614,0.0000143186,0.0003027592,0.00006045243,0.00000325893,0.000927558,0.009066421,0.00005040273,0.0001403684,0.002253246,0.9871616,0.00001742939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01726951,0.006122272,0.001581434,0.2259866,0.009092429,0.00004651759,0.0001798868,0.0002553439,0.739466],"genre_scores_gemma":[0.1681916,0.002167214,0.0005453814,0.06052713,0.001207412,0.00004958699,0.00008496291,0.0001788332,0.7670478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0484381,"threshold_uncertainty_score":0.1194588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902773489230751,"score_gpt":0.1679256669680525,"score_spread":0.148897932075745,"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."}}