{"id":"W2115774085","doi":"10.18438/b8dc7x","title":"EBL101: Riding Into the Sunset","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sunset; Computer science; Astronomy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01455881,0.001121249,0.002067481,0.002678287,0.002704062,0.01010587,0.003800961,0.007208464,0.5440025],"category_scores_gemma":[0.03987664,0.000869662,0.001501546,0.00254552,0.001431783,0.005766408,0.008421673,0.004944079,0.3752007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956663,"about_ca_system_score_gemma":0.006736542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592577,"about_ca_topic_score_gemma":0.01074643,"domain_scores_codex":[0.9918233,0.002775789,0.0006639673,0.0005813515,0.003426959,0.0007286876],"domain_scores_gemma":[0.9808552,0.006274165,0.0008432162,0.002200678,0.004327314,0.005499472],"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":[0.0003089419,0.00003107606,0.0001035184,0.0003688647,0.000009613627,0.00006119241,0.00002871164,0.00006427561,0.0001862251,0.0008849199,0.9328052,0.06514756],"study_design_scores_gemma":[0.0001412989,0.0001320433,0.0004006757,0.0006409707,0.00002521549,0.0001012962,0.00007310101,0.0002899178,0.000627701,0.002018581,0.9955125,0.00003669833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004901303,0.02152108,0.03010015,0.2485417,0.06600523,0.002405564,0.07882432,0.06705148,0.4806493],"genre_scores_gemma":[0.01724816,0.008016702,0.02456933,0.05598037,0.006168061,0.001532275,0.0639063,0.01343178,0.809147],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5440025,"threshold_uncertainty_score":0.6504251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627914812115231,"score_gpt":0.2660577223804279,"score_spread":0.2397785742592756,"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."}}