{"id":"W6960427612","doi":"10.1371/journal.pone.0057753.g003","title":"Percentage of draftees from each birth quarter achieving benchmarks of career games played.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[],"consensus_categories":[],"category_scores_codex":[0.002067966,0.0004391399,0.0003886683,0.002630211,0.0007339903,0.0009111597,0.0007830324,0.0004061855,0.07460853],"category_scores_gemma":[0.009372164,0.0001938531,0.0004230384,0.001886316,0.0002275778,0.0005979908,0.001095169,0.0006961474,0.04398819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008117901,"about_ca_system_score_gemma":0.002056607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02173578,"about_ca_topic_score_gemma":0.04253942,"domain_scores_codex":[0.9982938,0.0002382535,0.0001735366,0.000127857,0.0007167698,0.000449842],"domain_scores_gemma":[0.9921966,0.0004387073,0.001094285,0.0002166654,0.002968554,0.003085159],"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":[0.0002340371,0.00008792435,0.02845757,0.0002167452,0.00001848409,0.00006937065,0.0001764567,0.0002410477,0.0002932312,0.0007927252,0.9099751,0.05943729],"study_design_scores_gemma":[0.0001335813,0.0002988062,0.4473237,0.0002712239,0.00002967443,0.0002857879,0.001970351,0.0005366757,0.0009252573,0.0002805587,0.5479076,0.00003686913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1464801,0.003910059,0.002203127,0.01027854,0.005366875,0.001028901,0.4401174,0.002613481,0.3880016],"genre_scores_gemma":[0.1993893,0.002424009,0.001812611,0.001152758,0.0007398861,0.0007508692,0.1448175,0.0005702205,0.6483429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07460853,"threshold_uncertainty_score":0.2495904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896169256440471,"score_gpt":0.2224007105056886,"score_spread":0.1934390179412839,"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."}}