{"id":"W2106715314","doi":"10.1007/978-3-642-14274-1_19","title":"Case Retrieval with Combined Adaptability and Similarity Criteria: Application to Case Retrieval Nets","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Adaptability; Information retrieval; Similarity (geometry); Computer science; Artificial intelligence; Biology; Ecology; Image (mathematics)","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":[0.005238061,0.00053511,0.001267016,0.004158212,0.0007689015,0.002049631,0.001707478,0.001091873,0.004565557],"category_scores_gemma":[0.01950864,0.0004414257,0.00100988,0.004696045,0.0009933463,0.00325567,0.00220424,0.0008890353,0.0007727679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119084,"about_ca_system_score_gemma":0.00101049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759119,"about_ca_topic_score_gemma":0.002676401,"domain_scores_codex":[0.9980804,0.0008055017,0.0002199131,0.0002232765,0.0005960918,0.00007488854],"domain_scores_gemma":[0.9909381,0.007217661,0.0003320884,0.000610668,0.0006914771,0.0002099569],"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":[0.000497033,0.0002757797,0.003081894,0.0003624403,0.0001268848,0.0003861318,0.0004404716,0.09091631,0.004661676,0.05089444,0.003767564,0.8445893],"study_design_scores_gemma":[0.0001002358,0.0001703107,0.001629537,0.00007462552,0.0001443138,0.0005095372,0.0001371083,0.9016361,0.004433841,0.08494988,0.006173132,0.00004132622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02446902,0.0004858371,0.9689029,0.000232873,0.0000310717,0.0003602362,0.0001439487,0.0007176276,0.004656593],"genre_scores_gemma":[0.2400192,0.0004687468,0.7556986,0.0001077563,0.00009650093,0.0003162138,0.000341584,0.0001266973,0.00282466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005238061,"threshold_uncertainty_score":0.0277018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710110320431864,"score_gpt":0.253478890282596,"score_spread":0.2363777870782773,"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."}}