{"id":"W3154949570","doi":"10.2139/ssrn.3643897","title":"Reasons, Answers, and Goals","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Political science; Psychology; Data science","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":[0.01883677,0.0007749902,0.001044665,0.001966897,0.005555059,0.01253803,0.001994502,0.009823402,0.01083281],"category_scores_gemma":[0.03693558,0.0007348498,0.0009116338,0.001422941,0.02148783,0.01849458,0.005024012,0.007325549,0.003125052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654689,"about_ca_system_score_gemma":0.007668857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869716,"about_ca_topic_score_gemma":0.003149317,"domain_scores_codex":[0.9858224,0.008259917,0.0006861508,0.001601285,0.002353725,0.001276508],"domain_scores_gemma":[0.9818389,0.008801065,0.00149427,0.002383608,0.003762599,0.001719442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002232734,0.00001896324,0.0005173681,0.00005258072,0.000009564827,0.00004927575,0.00245808,0.0001182957,0.00007783647,0.9882638,0.004456027,0.003955876],"study_design_scores_gemma":[0.00001578459,0.000005824517,0.0002649608,0.00008367504,0.000007458379,0.00003613555,0.004384612,0.0003983805,0.0001138295,0.9664311,0.02824528,0.00001287527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03829378,0.006849733,0.1005328,0.3326665,0.001972284,0.0002910334,0.0006661045,0.0002599429,0.5184678],"genre_scores_gemma":[0.8954989,0.002513279,0.04270257,0.01323594,0.001069837,0.0005178255,0.0004960683,0.0002407226,0.04372487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01883677,"threshold_uncertainty_score":0.09961951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848750294398813,"score_gpt":0.2554422374152888,"score_spread":0.2269547344713007,"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."}}