{"id":"W1969970577","doi":"10.1093/llc/fqr019","title":"The concept of evolution in the Origin of Species: a computer-assisted analysis","year":2011,"lang":"en","type":"article","venue":"Literary and Linguistic Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Art history; History; Library science; Humanities; Sociology; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003267653,0.0004882137,0.0004743607,0.006710058,0.002316605,0.008042715,0.001678773,0.001270432,0.008545099],"category_scores_gemma":[0.01040224,0.0002616125,0.0007131168,0.006445765,0.01511466,0.008352192,0.002297898,0.001803701,0.0006740476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006823709,"about_ca_system_score_gemma":0.003333026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267851,"about_ca_topic_score_gemma":0.02571876,"domain_scores_codex":[0.9988104,0.000668211,0.00005662983,0.00015613,0.0002681794,0.00004039062],"domain_scores_gemma":[0.9933281,0.005164232,0.0003143475,0.0003779267,0.000620943,0.0001943963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002779814,0.00001055597,0.003475444,0.0003693568,0.00003893092,0.0002760507,0.0143265,0.003253947,0.000272679,0.919701,0.00945993,0.04878775],"study_design_scores_gemma":[0.00001406225,0.00001733126,0.007474639,0.0006199593,0.00005205504,0.0007194253,0.009632301,0.0216722,0.0003134181,0.7354856,0.2239494,0.00004957463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09908099,0.05212716,0.4905139,0.06000912,0.001316904,0.0004363908,0.002256104,0.0008805287,0.2933789],"genre_scores_gemma":[0.7090356,0.015099,0.2538496,0.001042697,0.0004274486,0.0002445699,0.0007852204,0.000352839,0.01916306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02267851,"threshold_uncertainty_score":0.04950964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084912723791863,"score_gpt":0.2557520097370202,"score_spread":0.2249028824991016,"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."}}