{"id":"W1977935160","doi":"10.1111/j.1365-2699.2006.01532.x","title":"Deep genealogies and the mid‐peninsular seaway of Baja California","year":2006,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Sweden-America Foundation","keywords":"Vicariance; Biogeography; Peninsula; Biota; Ecology; Phylogeography; Geography; Diachronous; Paleontology; Climate change; Geology; Biology; Structural basin; Phylogenetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000189877,0.00007582868,0.000143028,0.00007961752,0.00005996713,0.00001598384,0.0001368321,0.00008287688,0.0000120497],"category_scores_gemma":[0.00001797586,0.00004827942,0.0001848074,0.0001082881,0.0002383169,0.000002664988,0.00004799892,0.00005930126,4.433421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001214366,"about_ca_system_score_gemma":0.00001499905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005493158,"about_ca_topic_score_gemma":0.00001695917,"domain_scores_codex":[0.9994159,0.00005458139,0.0002313771,0.00007428505,0.0001373374,0.00008654186],"domain_scores_gemma":[0.9994557,0.00001260117,0.0002479977,0.000112675,0.0001390517,0.00003189647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008590046,0.00008525944,0.7113683,0.00005650865,0.0005431279,0.00001541225,0.0001623795,0.001554819,0.2762595,0.001093767,0.004461342,0.003540602],"study_design_scores_gemma":[0.006236741,0.0005713633,0.6032807,0.00002912817,0.0003641772,0.0003347033,0.0005456335,0.00005789764,0.2283209,0.007186218,0.1527409,0.0003316977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910466,0.00737096,0.0008720522,0.0002612617,0.0001051306,0.00005278348,0.00003284991,0.000001360426,0.0002569671],"genre_scores_gemma":[0.9978686,0.000516872,0.001359334,0.00009260204,0.0001249085,2.804583e-7,0.00001662959,0.000003720985,0.00001703533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482795,"threshold_uncertainty_score":0.1968778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004006570195501348,"score_gpt":0.1906857033815159,"score_spread":0.1866791331860146,"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."}}