{"id":"W6960716228","doi":"10.1371/journal.pone.0057753.g004","title":"Selection bias against relatively younger draftees over time.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Selection (genetic algorithm); Selection bias; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.005382372,0.0002138631,0.0002439824,0.0009032135,0.0006653119,0.0008627166,0.0007025623,0.000363251,0.1277661],"category_scores_gemma":[0.02509246,0.0001697366,0.0002607385,0.001681591,0.0003602045,0.0007048058,0.0008843585,0.0006000272,0.02303438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004996808,"about_ca_system_score_gemma":0.0009940616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00915908,"about_ca_topic_score_gemma":0.0215831,"domain_scores_codex":[0.9974395,0.000819709,0.0001625581,0.000581571,0.0006521749,0.0003444474],"domain_scores_gemma":[0.9883278,0.004244805,0.001920497,0.002343174,0.00201479,0.001148922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006036948,0.00009184049,0.1141062,0.0001452659,0.00004450753,0.0001043096,0.0008200613,0.0002125315,0.0009134774,0.009309635,0.7305416,0.1431069],"study_design_scores_gemma":[0.0002269536,0.0001978428,0.5349361,0.0002911334,0.00008363949,0.0004647122,0.00161743,0.001739022,0.003939908,0.004974179,0.4514815,0.0000474768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3099129,0.001557457,0.03265647,0.01248192,0.005093853,0.001382475,0.1707064,0.002543021,0.4636654],"genre_scores_gemma":[0.5696335,0.0004912085,0.007782324,0.002963531,0.0003536732,0.0007898469,0.0403681,0.001176349,0.3764415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1277661,"threshold_uncertainty_score":0.4274201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07047714693658712,"score_gpt":0.2423448355325455,"score_spread":0.1718676885959584,"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."}}