{"id":"W7095846136","doi":"","title":"Reprint requests:","year":2008,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reprint; Emerging technologies; Ridiculous; Quarter (Canadian coin)","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":["insufficient_payload"],"category_scores_codex":[0.0003917427,0.001464211,0.001398748,0.0009020108,0.001264041,0.002085665,0.0008188503,0.002090953,0.8565331],"category_scores_gemma":[0.002908987,0.0003229875,0.0004918688,0.0005991877,0.0004814019,0.001076095,0.0008959651,0.002533096,0.7621633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386996,"about_ca_system_score_gemma":0.0003933372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025405,"about_ca_topic_score_gemma":0.001070438,"domain_scores_codex":[0.9996802,0.00004453857,0.00002481334,0.00009818021,0.0000769625,0.00007532614],"domain_scores_gemma":[0.9990221,0.0002645478,0.0000406464,0.00008135417,0.0003083508,0.0002829975],"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":[0.0004915335,0.0002357839,0.001432557,0.0002895135,0.00002796159,0.0005872435,0.0001206152,0.0001166917,0.0009805685,0.001459482,0.9233169,0.07094111],"study_design_scores_gemma":[0.0002028843,0.0001647557,0.002372846,0.0002488803,0.00002068632,0.001096691,0.0001877232,0.0001688293,0.0007018401,0.001438014,0.9933803,0.00001651406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006554146,0.004245331,0.001445791,0.03352962,0.02701717,0.0007422115,0.01279383,0.001429166,0.9122427],"genre_scores_gemma":[0.01436024,0.002632309,0.0005829517,0.005247909,0.004702514,0.0001299432,0.005206367,0.0003093237,0.9668285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1434669,"threshold_uncertainty_score":0.2046381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623175871998288,"score_gpt":0.2924371044797269,"score_spread":0.266205345759744,"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."}}