{"id":"W4401454744","doi":"10.18357/bigr52202421403","title":"A Random Selection","year":2024,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association for Canadian and Québec Literatures","funders":"","keywords":"Gratitude; Politics; Inclusion (mineral); Natural (archaeology); Work (physics); Environmental ethics; Selection (genetic algorithm); Political science; Sociology; History; Aesthetics; Psychology; Social science; Social psychology; Law; Art; Engineering; Computer science; Archaeology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008378981,0.00004906772,0.0001062641,0.00002427173,0.0001212243,0.00007988916,0.0001063837,0.0000390285,0.0004457118],"category_scores_gemma":[0.0004156701,0.00004487675,0.00004631949,0.001910189,0.00006496201,0.0001995719,0.000007463746,0.00004169484,0.00004769024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145063,"about_ca_system_score_gemma":0.0002964841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005847522,"about_ca_topic_score_gemma":0.01674638,"domain_scores_codex":[0.9991052,0.000150582,0.0001565915,0.0001523178,0.0002819921,0.0001533485],"domain_scores_gemma":[0.9998097,0.00003842658,0.00003453002,0.00004016267,0.00004139075,0.00003574981],"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":[0.000003747948,0.00002450498,0.007494691,0.0006573332,0.000008010718,0.000004787034,0.002195265,0.00006391777,0.000001395631,0.5431866,0.2988358,0.147524],"study_design_scores_gemma":[0.00007000886,0.000003603687,0.0005095677,0.001233872,0.000007623019,3.509869e-7,0.0001812923,0.0002716265,2.98464e-7,0.002302497,0.9953576,0.00006166263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005771517,0.6261541,0.01397528,0.04607253,0.001784279,0.001322139,0.000006374633,0.0003710827,0.3097371],"genre_scores_gemma":[0.13584,0.8537313,0.0004151017,0.00500207,0.0003465534,0.00008696674,0.000008144958,0.00001188163,0.004557989],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6965218,"threshold_uncertainty_score":0.9344872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859170751606901,"score_gpt":0.3877491471696512,"score_spread":0.3691574396535822,"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."}}