{"id":"W3089064918","doi":"10.1111/ilr.12186","title":"Short tribute to Sir William Randolph Douglas, KCMG, PC","year":2020,"lang":"en","type":"article","venue":"International Labour Review","topic":"International Labor and Employment Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Tribute; History; Library science; Art history; Classics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007118451,0.0001724323,0.000319347,0.00005300381,0.0001898549,0.0001322583,0.0008947302,0.00005995799,0.00330752],"category_scores_gemma":[0.001017588,0.0001587302,0.0001985885,0.0004007011,0.00006433273,0.0003140727,0.0001174748,0.0001639446,0.00121874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679821,"about_ca_system_score_gemma":0.0001171438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003552784,"about_ca_topic_score_gemma":0.0002916252,"domain_scores_codex":[0.9976832,0.0001509776,0.0004665496,0.00034691,0.001047977,0.0003043735],"domain_scores_gemma":[0.99878,0.0001109019,0.0000859555,0.0001416679,0.0005476374,0.0003338544],"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":[0.000117906,0.0001082598,0.002857769,0.0002420566,0.0002159864,0.0000447731,0.001015818,0.00002976535,0.00008363769,0.6788817,0.2924559,0.02394643],"study_design_scores_gemma":[0.000250576,0.00002932857,0.0009183406,0.0005491733,0.00002541761,0.00000180241,0.00002347516,0.000007098218,0.00007056181,0.0004576632,0.9974748,0.0001917192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01003878,0.02069169,0.001918387,0.697237,0.00585372,0.002167376,0.0007242755,0.0004467294,0.260922],"genre_scores_gemma":[0.6597208,0.06986264,0.001037941,0.198275,0.007411136,0.0003197071,0.0003415443,0.00007361702,0.06295754],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7050189,"threshold_uncertainty_score":0.9995589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996617237539169,"score_gpt":0.3678707361848051,"score_spread":0.3179045638094134,"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."}}