{"id":"W4312601293","doi":"10.18438/b8tw4p","title":"i³ Conference - Preliminary Announcement","year":2008,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003528299,0.001206922,0.001122196,0.001506337,0.003530571,0.008004929,0.002431985,0.009109917,0.5408232],"category_scores_gemma":[0.008255549,0.0004831934,0.001452503,0.0008765253,0.0006542437,0.001986715,0.002610755,0.00596795,0.4381841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450107,"about_ca_system_score_gemma":0.00454851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317232,"about_ca_topic_score_gemma":0.01621137,"domain_scores_codex":[0.9974056,0.0002730701,0.00009813316,0.0003398578,0.001254158,0.00062923],"domain_scores_gemma":[0.9917501,0.0006988654,0.0002375627,0.0005072036,0.004049486,0.002756836],"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":[0.0001959341,0.00003691991,0.0000708501,0.00008875406,0.000005679654,0.00004797397,0.000007092483,0.0000213789,0.0002287311,0.0004589018,0.9924498,0.006388101],"study_design_scores_gemma":[0.0001176455,0.00006119149,0.001225779,0.00009749674,0.000009247498,0.00003099958,0.00005806038,0.0001169591,0.0003401533,0.0008041626,0.9971198,0.00001861592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002336604,0.003592572,0.00131342,0.05716818,0.2725576,0.002387106,0.01274788,0.002380238,0.6455165],"genre_scores_gemma":[0.004369245,0.0005660193,0.0003299863,0.01004892,0.01448815,0.0005945526,0.003069414,0.0003371665,0.9661966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5408232,"threshold_uncertainty_score":0.6549599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285702615521966,"score_gpt":0.2192463600277152,"score_spread":0.1663893338724955,"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."}}