{"id":"W7100000238","doi":"","title":"Kanata: Adaptation and Evolution in Data Sharing Systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Phytochemical Studies and Bioactivities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Focus (optics); Data sharing; Adaptation (eye); Data integration; Data exchange; Data access; Information sharing","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":[0.006418009,0.0005977688,0.0008248903,0.001082568,0.002477685,0.004252824,0.003896229,0.00181318,0.003228976],"category_scores_gemma":[0.01625587,0.001274782,0.001255075,0.002352002,0.002704591,0.008223947,0.007354318,0.002902828,0.001277386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403927,"about_ca_system_score_gemma":0.002899552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513039,"about_ca_topic_score_gemma":0.01211343,"domain_scores_codex":[0.9966933,0.0009058362,0.0003975712,0.0008991298,0.0007689344,0.0003352887],"domain_scores_gemma":[0.9908965,0.002212381,0.0005763645,0.004455669,0.001004165,0.0008549693],"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":[0.001805984,0.0005376434,0.04897951,0.0009607743,0.000550451,0.001663542,0.01138789,0.09133355,0.03306784,0.2476069,0.03952042,0.5225855],"study_design_scores_gemma":[0.0003179224,0.0003679171,0.01516509,0.0002798683,0.0003805191,0.001755993,0.003043725,0.3631317,0.02655569,0.2313998,0.3572188,0.000383064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1281935,0.001583492,0.8179183,0.002346017,0.0004641752,0.0005781957,0.001288525,0.03448108,0.01314671],"genre_scores_gemma":[0.4361368,0.00111477,0.5358074,0.0005296536,0.0001021959,0.00075935,0.005288471,0.005601942,0.01465941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01513039,"threshold_uncertainty_score":0.03394204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298517920332005,"score_gpt":0.2629120429385432,"score_spread":0.2199268637352231,"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."}}