{"id":"W4308936179","doi":"10.3389/frym.2022.652490","title":"What Would the Child of a Human and a Neanderthal Look Like?","year":2022,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Department of Science and Technology, Ministry of Science and Technology, India; National Research Foundation","keywords":"Neanderthal; Surprise; Genealogy; Evolutionary biology; History; Geography; Biology; Archaeology; Sociology; Communication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002166094,0.0001072618,0.0001301228,0.00001883791,0.0004769704,0.00003498699,0.0001998533,0.0001154282,0.00001011735],"category_scores_gemma":[0.00001023651,0.00009249773,0.0001392909,0.00004257206,0.0001786309,0.00000437961,0.0001528853,0.0001446852,1.347025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000123323,"about_ca_system_score_gemma":0.00003142114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001338561,"about_ca_topic_score_gemma":0.00002714236,"domain_scores_codex":[0.9992676,0.00003617657,0.0001412274,0.0002500254,0.0001199868,0.0001850262],"domain_scores_gemma":[0.9995575,0.000004126923,0.00007790486,0.0002861273,0.00003315202,0.00004121304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006716801,0.0004632875,0.06126832,0.0001567267,0.001237472,0.000004861503,0.02230534,0.0002194777,0.1531125,0.0004590506,0.7423057,0.01779557],"study_design_scores_gemma":[0.004738273,0.003296944,0.009718155,0.00003269282,0.0003094577,0.000105712,0.06706332,0.0009018569,0.06632809,0.001509725,0.8451048,0.0008910473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784442,0.01717451,0.001395177,0.0006062539,0.00111107,0.0004011073,0.00005611718,0.000005912755,0.000805707],"genre_scores_gemma":[0.9931523,0.0005838553,0.0004555597,0.0004261129,0.000196596,0.00008566114,0.0001366979,0.00002265243,0.0049406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102799,"threshold_uncertainty_score":0.3771948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006857717901795462,"score_gpt":0.2281468031987277,"score_spread":0.2212890852969323,"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."}}