{"id":"W2031395929","doi":"10.1073/pnas.1203005109","title":"Rethinking dog domestication by integrating genetics, archeology, and biogeography","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":532,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Domestication; Ancient DNA; Biology; Canis; Range (aeronautics); Ancestor; Evolutionary biology; Geography; Zoology; Archaeology; Ecology; Demography; Population","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":[0.004598883,0.0003447344,0.0007466168,0.002440306,0.0004622848,0.002010236,0.0005844468,0.0004824274,0.0005939286],"category_scores_gemma":[0.003952266,0.0002593832,0.0003647611,0.00269373,0.001556137,0.003205365,0.001558074,0.0009085325,0.0000929869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005214412,"about_ca_system_score_gemma":0.0006188225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004433721,"about_ca_topic_score_gemma":0.01317711,"domain_scores_codex":[0.9990088,0.0005311033,0.00007126443,0.0002386539,0.00006727358,0.00008294291],"domain_scores_gemma":[0.9971072,0.001594965,0.0006125057,0.0003252864,0.000228207,0.0001317769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009943249,0.00003810494,0.9035458,0.0003343449,0.0006472736,0.0003635097,0.004206948,0.00193637,0.01239383,0.004543434,0.0003437368,0.07154717],"study_design_scores_gemma":[0.0000050942,0.00005794098,0.9820047,0.0001905398,0.0001765847,0.0002594556,0.002925543,0.003230981,0.000763972,0.00636742,0.003990125,0.00002764703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829658,0.005863785,0.008092506,0.001019466,0.0000504306,0.00001174707,0.0001395871,0.00003112337,0.001825682],"genre_scores_gemma":[0.9865505,0.00291532,0.00971566,0.0003441534,0.0000708098,0.00001074391,0.0001474197,0.00002829146,0.0002172536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004598883,"threshold_uncertainty_score":0.0243215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076176268783833,"score_gpt":0.3669152165050509,"score_spread":0.3261534538172126,"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."}}