{"id":"W430248527","doi":"10.7771/2380-176x.2591","title":"I Hear the Train A Comin' -- Institutional Repositories: The Promise of Tomorrow","year":2009,"lang":"en","type":"article","venue":"Against the grain","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Aeronautics; Telecommunications; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001411105,0.000106414,0.0001083559,0.00002563245,0.0006063083,0.00009930915,0.001294266,0.00003448362,0.000002993374],"category_scores_gemma":[0.000188744,0.00004416033,0.0001110204,0.0003771533,0.0003242436,0.000202602,0.0001041442,0.0002196758,0.00001019268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002866052,"about_ca_system_score_gemma":0.0001392653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911661,"about_ca_topic_score_gemma":0.00001593114,"domain_scores_codex":[0.998818,0.0002161965,0.0003114169,0.0001374416,0.0003312062,0.0001857819],"domain_scores_gemma":[0.9986588,0.0002266385,0.0001281436,0.0008783507,0.00007479137,0.00003321516],"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":[0.00005593138,0.0001496088,0.0001255152,0.00001846088,0.00004177391,0.000006347013,0.06619774,0.002308082,0.00150618,0.7391601,0.01120437,0.1792259],"study_design_scores_gemma":[0.002643174,0.0008421621,0.07955234,0.0001527147,0.0000524961,0.0004029116,0.002620704,0.1691661,0.01648856,0.2326791,0.4944225,0.0009772741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5879787,0.0002556449,0.1254141,0.2172906,0.001474371,0.002337394,0.00002453303,0.0002859115,0.06493868],"genre_scores_gemma":[0.9923121,0.000002868522,0.001014256,0.006394316,0.0001103318,0.00001815511,0.000002644565,0.000002010227,0.0001433464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.506481,"threshold_uncertainty_score":0.4663295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133335461213818,"score_gpt":0.2304139571659121,"score_spread":0.2190806025537739,"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."}}