{"id":"W6977575404","doi":"10.6084/m9.figshare.7854995","title":"FAKE: Re-examining the genetic bottleneck (Hoax video)","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"International Human Rights and Reproductive Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottleneck; Genetic data; Outcome (game theory); Genetic algorithm; Identification (biology); Human genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000088378,0.000161291,0.0001564088,0.00006392482,0.0002727724,0.000124806,0.0006532149,0.0002251475,0.6471441],"category_scores_gemma":[0.0002712256,0.00009821155,0.00008125481,0.00008193158,0.0000585237,0.00004045834,0.0000959353,0.0002128617,0.0184988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006520728,"about_ca_system_score_gemma":0.0001665653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005447968,"about_ca_topic_score_gemma":0.001858672,"domain_scores_codex":[0.9986741,0.0001059235,0.0001229527,0.0003814218,0.0004706347,0.0002449964],"domain_scores_gemma":[0.9991639,0.0001058839,0.0001919756,0.000402379,0.00009312287,0.0000427834],"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":[7.724331e-7,0.000006505375,0.000003168478,0.00002894322,0.00003221102,0.000005311091,0.0009261968,0.000001733098,4.492032e-7,0.005197297,0.9928353,0.0009621485],"study_design_scores_gemma":[0.00005059941,0.00001189006,0.0003559263,0.0009243779,0.000008211005,6.964879e-7,0.000178151,0.000002271927,0.000003171217,0.0002789864,0.9980127,0.0001730209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004610084,0.001208993,2.928107e-7,0.0005609798,0.0006222896,0.0004349267,0.02540971,0.0001091495,0.9716491],"genre_scores_gemma":[0.001155839,0.00003085017,0.00002970791,0.0002887936,0.004087775,0.00006957388,0.005491088,0.0001585404,0.9886878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6286454,"threshold_uncertainty_score":0.9822654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708549574220104,"score_gpt":0.3153498509339787,"score_spread":0.2444948935119683,"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."}}