{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002801291,0.001557509,0.001032585,0.004133701,0.00206086,0.01074935,0.001304654,0.0009181363,0.175539],"category_scores_gemma":[0.01712088,0.0003731295,0.0007752473,0.0061358,0.0009761326,0.01193241,0.002474919,0.002406225,0.09769056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549857,"about_ca_system_score_gemma":0.002563626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107731,"about_ca_topic_score_gemma":0.01505191,"domain_scores_codex":[0.9960621,0.0005252896,0.0002560885,0.0007264637,0.001989553,0.0004404326],"domain_scores_gemma":[0.9937355,0.0009345581,0.0005095604,0.00110228,0.003080102,0.0006379934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001819772,0.0001474961,0.00581169,0.0004020942,0.00004250586,0.00008166616,0.001695654,0.0007234963,0.001802625,0.04147508,0.5080042,0.4396315],"study_design_scores_gemma":[0.00002081607,0.0001789147,0.007102752,0.0002781422,0.00002445823,0.000104516,0.003247127,0.0008707579,0.001503525,0.01632648,0.9702374,0.0001051014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02602579,0.003427364,0.04354917,0.02125008,0.007477442,0.000445525,0.0179346,0.01381226,0.8660777],"genre_scores_gemma":[0.1763751,0.009280918,0.124933,0.006455509,0.002393084,0.0007100149,0.02833499,0.01005298,0.6414644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.175539,"threshold_uncertainty_score":0.5872364,"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."}}