{"id":"W7099411038","doi":"","title":"Semantic Similarity Measures..............................................................................4","year":2008,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Discretion; Accreditation; Similarity (geometry); Common law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235821,0.0007279276,0.000887942,0.01234562,0.001315793,0.004526012,0.001169507,0.001268521,0.009729105],"category_scores_gemma":[0.01551357,0.0002413338,0.001233014,0.009062434,0.001012129,0.005273294,0.001902826,0.001008481,0.004189481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688,"about_ca_system_score_gemma":0.001942905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069618,"about_ca_topic_score_gemma":0.004071568,"domain_scores_codex":[0.9948735,0.001046569,0.0007400109,0.0007143334,0.002398555,0.0002270392],"domain_scores_gemma":[0.9930986,0.002014453,0.000588712,0.001236431,0.002790119,0.0002717611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006630474,0.0005434961,0.03418323,0.001379316,0.0007562045,0.0002333561,0.001036076,0.005754832,0.01097316,0.09827267,0.0494744,0.7967303],"study_design_scores_gemma":[0.0002491659,0.0008820657,0.1053313,0.00102448,0.001091081,0.00381413,0.005399012,0.1338065,0.03018227,0.4979216,0.219875,0.0004233849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1628828,0.01221051,0.6594442,0.004063771,0.001370791,0.001940207,0.02815425,0.004830383,0.1251031],"genre_scores_gemma":[0.6831883,0.002896358,0.2735096,0.0004076433,0.0004716175,0.0007581271,0.02332737,0.0004428519,0.01499808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01234562,"threshold_uncertainty_score":0.03254712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3318881643610395,"score_gpt":0.3884379335730731,"score_spread":0.05654976921203364,"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."}}