{"id":"W4391320256","doi":"10.1007/s12064-024-00412-9","title":"Speciation, natural selection, and networks: three historians versus theoretical population geneticists","year":2024,"lang":"en","type":"article","venue":"Theory in Biosciences","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Geneticist; Natural selection; Darwin (ADL); Philosophy of biology; Population; Genealogy; Context (archaeology); Epistemology; Evolutionary biology; Biology; History; Sociology; Philosophy; Genetics; Philosophy of science; Demography; Paleontology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004693948,0.0003560053,0.0006091015,0.002224639,0.001564247,0.004494288,0.001168777,0.002373678,0.003956403],"category_scores_gemma":[0.009959731,0.0002734999,0.0002433231,0.0024102,0.03501543,0.01031351,0.001675414,0.002527204,0.0002410068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00288425,"about_ca_system_score_gemma":0.00124876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219258,"about_ca_topic_score_gemma":0.002282118,"domain_scores_codex":[0.9990609,0.0005694838,0.0000306746,0.0001508325,0.0001437722,0.00004429599],"domain_scores_gemma":[0.9904197,0.007884882,0.0005086136,0.0005210279,0.000302464,0.0003633523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001943489,0.00001582841,0.001313022,0.00005599178,0.00000829452,0.00001599158,0.001333488,0.0007460499,0.00004213349,0.987601,0.001149631,0.007699149],"study_design_scores_gemma":[0.00001990465,0.000009292131,0.0005690671,0.00007076935,0.000007151897,0.00003504744,0.001475125,0.001435686,0.00006497488,0.9875575,0.008749465,0.000006004218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2071176,0.08506289,0.119127,0.4316358,0.001319598,0.00005238735,0.0002756672,0.0001394386,0.1552696],"genre_scores_gemma":[0.9604977,0.0173361,0.008200002,0.008174529,0.001499674,0.00007827818,0.00004492952,0.00004240887,0.004126195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9984357,"threshold_uncertainty_score":0.0248242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924243640876932,"score_gpt":0.2342128350522067,"score_spread":0.2149703986434374,"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."}}