{"id":"W2049269279","doi":"10.1002/smll.200600627","title":"From Revolution to Evolution","year":2006,"lang":"en","type":"article","venue":"Small","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Nanotechnology; Evolutionary biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428765,0.00008732417,0.00007362027,0.0000454076,0.0000508186,0.00002017744,0.0001660238,0.0001314651,0.00003122411],"category_scores_gemma":[0.0001111974,0.00007989525,0.00005072556,0.00008373319,0.00005278777,0.000001543191,0.0001119429,0.00005693864,0.0002412119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003108096,"about_ca_system_score_gemma":0.00005994006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007578621,"about_ca_topic_score_gemma":0.000458943,"domain_scores_codex":[0.9991753,0.0000237294,0.0001779206,0.0001973738,0.0001692595,0.0002564372],"domain_scores_gemma":[0.9995117,0.000006577982,0.00002974939,0.0002508362,0.00008694945,0.0001142089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009198272,0.00009688029,0.004565912,0.00002164893,0.00002159926,0.000002001967,0.00004898205,0.00007400799,0.900341,0.0003036848,0.08263574,0.0117966],"study_design_scores_gemma":[0.001043312,0.0008014657,0.1319098,0.00004077066,0.00002358332,0.000005537706,0.0002237434,0.0008558073,0.2244814,0.005848664,0.634222,0.0005438483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454949,0.0004028934,0.04609099,0.0006584128,0.0002807281,0.0001978037,0.00005265888,0.00001949997,0.006802127],"genre_scores_gemma":[0.9883075,0.00003278887,0.006828094,0.0002283752,0.001166132,0.00001191132,0.0003825321,0.00001010133,0.003032559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6758595,"threshold_uncertainty_score":0.3258034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278204133010167,"score_gpt":0.2520021077077357,"score_spread":0.2392200663776341,"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."}}