{"id":"W7097294867","doi":"","title":"Biology","year":2016,"lang":"en","type":"article","venue":"","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Context (archaeology); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009310951,0.0009960847,0.0006560695,0.001551855,0.002349217,0.003966137,0.001652476,0.001768716,0.253067],"category_scores_gemma":[0.001164955,0.0004661379,0.0005841544,0.001018609,0.001236769,0.001583842,0.003464441,0.002531116,0.1868437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003364794,"about_ca_system_score_gemma":0.00437478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009231542,"about_ca_topic_score_gemma":0.01237516,"domain_scores_codex":[0.9989132,0.00009367038,0.00004664563,0.0002909972,0.000471,0.0001845733],"domain_scores_gemma":[0.9988689,0.00007754917,0.00005470917,0.0002228664,0.0003561197,0.0004198661],"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":[0.0002252261,0.0001416034,0.002136417,0.0004335718,0.00003669189,0.0002687857,0.000515996,0.0002633936,0.02458439,0.09407775,0.5026047,0.3747114],"study_design_scores_gemma":[0.000006801466,0.00001171535,0.000774853,0.00002503297,0.000003731701,0.00008895322,0.00004257026,0.00003461529,0.001230873,0.001726403,0.9960495,0.000004955208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005216083,0.01100635,0.01025603,0.01480713,0.006933074,0.0002264794,0.005553138,0.002391646,0.9436101],"genre_scores_gemma":[0.01957724,0.003981965,0.003882552,0.002663607,0.0007706372,0.000174459,0.004723425,0.0003187755,0.9639074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.746933,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007511602173914153,"score_gpt":0.2480789475138134,"score_spread":0.2405673453398992,"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."}}