{"id":"W4409616972","doi":"10.63485/n17rv-zs643","title":"Open Canada Digitization Initiative","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Political science; Library science; Computer science; Telecommunications","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0001093866,0.0001147129,0.0001164674,0.00004203773,0.00006981804,0.001124897,0.003785617,0.00003947232,0.00008535304],"category_scores_gemma":[0.000009618425,0.0001078956,0.00001482968,0.0001431924,0.000007760771,0.000524449,0.01209793,0.0001102125,0.00003684411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041147,"about_ca_system_score_gemma":0.001049525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4380063,"about_ca_topic_score_gemma":0.5924803,"domain_scores_codex":[0.9990042,0.00001935784,0.0001806884,0.0004792879,0.0001930188,0.0001234825],"domain_scores_gemma":[0.9985558,0.00002168992,0.0001100254,0.001178354,0.0000783151,0.00005577998],"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":[3.543793e-7,0.00003198239,0.0000414391,0.00001217647,0.00002176065,0.000002917952,0.00004674798,0.001439607,3.840761e-7,0.6780946,0.2509775,0.0693306],"study_design_scores_gemma":[0.0001197991,0.000005656379,0.00279588,0.00002217045,0.000006264219,7.342915e-7,0.0000242419,0.05905481,0.0001081984,0.01893119,0.9186088,0.000322247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003265286,0.00001263591,0.7171662,0.005467248,0.000138005,0.0004379708,0.00004328275,0.00005669954,0.2766453],"genre_scores_gemma":[0.478535,0.0001243202,0.4877739,0.01695731,0.0003111818,0.0008949819,0.001436977,0.00002632105,0.01393998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6676313,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090444973555549,"score_gpt":0.2738336098055119,"score_spread":0.2329291600699564,"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."}}