{"id":"W6931300398","doi":"10.5281/zenodo.3800156","title":"Vedalia Beetles and Cyanide","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Locust; Bureaucracy; Scale (ratio); Agriculture; Work (physics)","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":[0.0001633362,0.0002658042,0.0001200836,0.0004866488,0.001475457,0.001267445,0.0002637357,0.0009795033,0.005882535],"category_scores_gemma":[0.0002371624,0.0001707391,0.000101215,0.0002297469,0.0008556711,0.0008107148,0.0009425562,0.001407494,0.0004708724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465107,"about_ca_system_score_gemma":0.0005446012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03821272,"about_ca_topic_score_gemma":0.08995487,"domain_scores_codex":[0.9998678,0.00002000712,0.000003523984,0.00003319146,0.00003061899,0.00004473293],"domain_scores_gemma":[0.9998792,0.00002346666,0.00001953344,0.000004913173,0.00003598387,0.0000368637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006105337,0.000418877,0.03186755,0.0007896938,0.00008334885,0.003726319,0.006438968,0.0004503111,0.02975148,0.07793131,0.3007483,0.5471832],"study_design_scores_gemma":[0.00001150064,0.0001589733,0.02631828,0.0005139499,0.00001368097,0.0006093738,0.003125535,0.0001206748,0.002071937,0.003296132,0.9637348,0.00002529434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1585158,0.3986109,0.0005081589,0.05552131,0.00782097,0.00003586213,0.000195855,0.00008300033,0.3787082],"genre_scores_gemma":[0.6142886,0.1519904,0.0005409001,0.0204378,0.002284132,0.00002014375,0.0002231879,0.0000144577,0.2102004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03821272,"threshold_uncertainty_score":0.0759806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4497995680222129,"score_gpt":0.4784775693201928,"score_spread":0.02867800129797982,"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."}}