{"id":"W4378223607","doi":"10.1002/ev.20543","title":"Guest Editors’ notes","year":2023,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Adventure; Ethos; Dream; Psychology; Sociology; Operations research; Library science; Computer science; Law; History; Political science; Artificial intelligence; Engineering","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":[0.0137842,0.00165585,0.001433176,0.00362279,0.003796353,0.01249725,0.004984005,0.006270865,0.279283],"category_scores_gemma":[0.09551546,0.0008461251,0.001479918,0.002691127,0.001787971,0.006175213,0.006583869,0.009190381,0.1932199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003693446,"about_ca_system_score_gemma":0.009378722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671881,"about_ca_topic_score_gemma":0.002890283,"domain_scores_codex":[0.9871104,0.001619672,0.001163387,0.001813456,0.007019895,0.001273192],"domain_scores_gemma":[0.9314541,0.01109777,0.003980978,0.006014119,0.03798136,0.0094717],"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":[0.00001308768,0.000008644119,0.00002291701,0.00009177791,0.000001350594,0.00003925272,0.00005545047,0.00001690207,0.0001020269,0.0009928804,0.9882808,0.01037474],"study_design_scores_gemma":[0.000004531181,0.000005727545,0.00004042852,0.00009761385,0.000001185905,0.00003582455,0.00004323368,0.00001439132,0.00006763107,0.0003793928,0.9993054,0.000004650009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002514425,0.004476465,0.00137739,0.08232684,0.8476825,0.0002833709,0.001279843,0.001018067,0.06130404],"genre_scores_gemma":[0.005428396,0.006673466,0.003989184,0.07715555,0.3593498,0.0008984807,0.002025764,0.002347938,0.5421314],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.279283,"threshold_uncertainty_score":0.9342949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3729067314618274,"score_gpt":0.5685543924994344,"score_spread":0.195647661037607,"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."}}