{"id":"W2606156784","doi":"10.1002/9781119283089.ch6","title":"Ranking by Now, Comparing with Then","year":2017,"lang":"en","type":"other","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dashboard; Chart; Bar chart; Quarter (Canadian coin); Ranking (information retrieval); Computer science; Litmus; Statistics; Operations management; Engineering; Data science; Mathematics; Geography; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004885212,0.0001492096,0.0002877811,0.0001278848,0.0001564428,0.000344883,0.001367668,0.0001101559,0.002481909],"category_scores_gemma":[0.00007319627,0.00008356386,0.00004916781,0.00009943888,0.0001186021,0.00003891922,0.0001569847,0.0001265451,0.0005904413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009417065,"about_ca_system_score_gemma":0.00002229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004449231,"about_ca_topic_score_gemma":0.0008329154,"domain_scores_codex":[0.9987078,0.00001721284,0.0001647094,0.0003921485,0.0005667814,0.0001513141],"domain_scores_gemma":[0.998197,0.000109528,0.0003947229,0.00120392,0.00004601759,0.00004876732],"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":[0.000001327392,0.000007197278,0.0003111392,0.000001300569,0.000006863699,4.945552e-7,0.00000830005,4.290109e-7,0.000006848457,0.00175157,0.9876445,0.01026007],"study_design_scores_gemma":[0.00007665547,0.00001154361,0.00001970439,0.0001030205,0.000006246928,0.00000317283,0.000008988695,0.000367624,0.00004096725,0.002732735,0.9964893,0.0001399978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000116276,0.0000878077,0.07114126,0.0001981294,0.00003909439,0.0001943572,0.00001526054,0.0003386803,0.9279738],"genre_scores_gemma":[0.006385262,0.00001575767,0.01998941,0.00006047793,0.00008753052,0.00002747631,0.000007657182,0.0001138984,0.9733125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05115184,"threshold_uncertainty_score":0.99843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649040118464069,"score_gpt":0.4079790608936951,"score_spread":0.2430750490472882,"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."}}