{"id":"W2379130772","doi":"","title":"The Implement of Set in DOOD","year":2000,"lang":"en","type":"article","venue":"Fudan xuebao. Ziran Kexue ban","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Deductive database; Set (abstract data type); Programming language; Syntax; Object (grammar); Expression (computer science); Database; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589884,0.0003293558,0.0005120019,0.0009987948,0.0008368794,0.003997972,0.001177243,0.0005186161,0.002708651],"category_scores_gemma":[0.002154904,0.00039235,0.0006651325,0.001174865,0.001356362,0.00478534,0.001874008,0.0009988624,0.0006635193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008210595,"about_ca_system_score_gemma":0.0009514241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009054857,"about_ca_topic_score_gemma":0.0007095527,"domain_scores_codex":[0.9984523,0.0002406645,0.0002380361,0.0003803185,0.0005678555,0.0001208056],"domain_scores_gemma":[0.9991515,0.0002196183,0.00007251947,0.000317849,0.0001986413,0.00003980509],"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":[0.0001092446,0.00004964882,0.001829367,0.0003023109,0.00003555816,0.0002538578,0.000879952,0.0008753924,0.007380555,0.8522789,0.004324358,0.1316808],"study_design_scores_gemma":[0.00008879139,0.0001379376,0.001898123,0.0002592339,0.0002341353,0.001609984,0.0006217354,0.02686252,0.04913034,0.5013797,0.4176598,0.0001177956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03411206,0.001457377,0.9131573,0.0009081517,0.0003537918,0.0001716792,0.0009058142,0.004513232,0.04442059],"genre_scores_gemma":[0.4284127,0.001836312,0.547967,0.001097011,0.0002159526,0.0003767248,0.002155808,0.0006898823,0.01724871],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003997972,"threshold_uncertainty_score":0.009061337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274914201549194,"score_gpt":0.2893154151323621,"score_spread":0.2765662731168702,"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."}}