{"id":"W2385683608","doi":"","title":"Extracting the Situation Framework of Sentence Group Based on Concept Primitives","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Sentence; Natural language processing; Frame (networking); Artificial intelligence; Group (periodic table); Matching (statistics); Semantic role labeling; Space (punctuation); Knowledge base; Domain (mathematical analysis); Semantic matching; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000643958,0.0009985955,0.0004918149,0.003040505,0.001169121,0.001353134,0.0007667054,0.0005396481,0.006512117],"category_scores_gemma":[0.002287828,0.0003530491,0.001262019,0.001481912,0.0007633668,0.00387775,0.001189764,0.0007456143,0.001690295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008918255,"about_ca_system_score_gemma":0.001891566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005149346,"about_ca_topic_score_gemma":0.004491833,"domain_scores_codex":[0.9993637,0.0001294516,0.00006282724,0.0002269673,0.0001562846,0.00006079781],"domain_scores_gemma":[0.9994884,0.0001308426,0.00005402282,0.00007178681,0.000189402,0.00006562233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005455822,0.0002013104,0.00800004,0.001646144,0.0001470953,0.002188535,0.01362366,0.005868308,0.109635,0.2483789,0.02391312,0.5858523],"study_design_scores_gemma":[0.000155702,0.0009126882,0.02932171,0.0007757713,0.0008664994,0.004040046,0.01866351,0.2127171,0.08130383,0.3387818,0.3120712,0.0003902149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06047552,0.0004844001,0.9174662,0.0005331052,0.0001417101,0.0005766477,0.002066985,0.004197537,0.01405792],"genre_scores_gemma":[0.3023755,0.0004507701,0.6867822,0.00008517181,0.00005856001,0.0003065678,0.005775691,0.0003379006,0.003827642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006512117,"threshold_uncertainty_score":0.02178514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009539194134374727,"score_gpt":0.2816342594500048,"score_spread":0.27209506531563,"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."}}