{"id":"W4387541503","doi":"10.31581/jbs-33.1-2.524(2023)","title":"Learning to Sift","year":2023,"lang":"en","type":"article","venue":"The Journal of Bahá’í Studies","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Reading (process); Collaborative learning; Reflection (computer programming); Heuristic; Key (lock); Sociology; Psychology; Public relations; Computer science; Pedagogy; Political science; World Wide Web; Artificial intelligence; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002714517,0.0008716322,0.0006626031,0.001117786,0.002505539,0.004965667,0.00210107,0.002767815,0.09805657],"category_scores_gemma":[0.02211219,0.0003660088,0.001170153,0.001039558,0.003304732,0.01208896,0.005812027,0.002768693,0.03549561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346348,"about_ca_system_score_gemma":0.003203153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557752,"about_ca_topic_score_gemma":0.002071942,"domain_scores_codex":[0.9978854,0.0005819888,0.00009036187,0.0005838549,0.0005146203,0.0003436945],"domain_scores_gemma":[0.9950597,0.002314312,0.0003474143,0.0009818118,0.0007368362,0.0005598958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001928413,0.000246211,0.003995521,0.0004306427,0.0000316655,0.0007369763,0.009034311,0.001748942,0.00145339,0.4225788,0.1938071,0.3657437],"study_design_scores_gemma":[0.00006665156,0.000128387,0.000899428,0.0002775019,0.00001781945,0.0006241985,0.00575066,0.004525178,0.0009913997,0.4965402,0.4901302,0.00004827682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04716298,0.001404611,0.296811,0.03752855,0.001972735,0.0007273479,0.0008651892,0.005185204,0.6083425],"genre_scores_gemma":[0.4924564,0.00227795,0.1939257,0.01108985,0.0006912169,0.0007664994,0.00267417,0.001915411,0.2942028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09805657,"threshold_uncertainty_score":0.3280319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06386356687256198,"score_gpt":0.39145618739753,"score_spread":0.327592620524968,"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."}}