{"id":"W988448068","doi":"","title":"探索信息创新：加拿大科技信息研究所（CISTI）2005—2010年战略规划","year":2007,"lang":"zh","type":"article","venue":"图书情报工作动态","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001692811,0.0003466625,0.0003533677,0.0001297704,0.0008157575,0.000126766,0.0005616233,0.0003527636,0.004134904],"category_scores_gemma":[0.00009235493,0.000346155,0.0001883184,0.0003769529,0.0007653112,0.0002422553,0.0001522048,0.0003376325,0.006094175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000518072,"about_ca_system_score_gemma":0.0002419268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008593024,"about_ca_topic_score_gemma":0.001494825,"domain_scores_codex":[0.9962318,0.0001128819,0.0005669368,0.0005589051,0.001250426,0.001279071],"domain_scores_gemma":[0.998552,0.0002640081,0.0002159916,0.0003432149,0.00004402877,0.0005807737],"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":[0.0002724193,0.0009390591,0.05754349,0.00008992076,0.0003347443,0.0004896125,0.02619894,0.00005090681,0.001139842,0.272065,0.5553406,0.0855354],"study_design_scores_gemma":[0.0004102676,0.0000487141,0.1190897,0.00005006121,0.00003859093,0.000005276914,0.002204214,0.00001282583,0.0001243097,0.004705711,0.8728309,0.0004795014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07866349,0.001909644,0.00131789,0.008434636,0.004039407,0.0005782353,0.00002190015,0.0001441147,0.9048907],"genre_scores_gemma":[0.8452024,0.002399724,0.0009368805,0.001358545,0.001585337,0.00001012492,0.00003498107,0.00004284465,0.1484292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7665389,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643779115553206,"score_gpt":0.2771548359028961,"score_spread":0.2507170447473641,"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."}}