{"id":"W6902812182","doi":"10.7910/dvn/nn3qp3","title":"Gryllus firmus contests","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Field (mathematics); Set (abstract data type); Pairwise comparison; Cricket","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004652361,0.001710703,0.0009241175,0.001792216,0.0007785087,0.0009589398,0.001293329,0.00125302,0.03804226],"category_scores_gemma":[0.001952501,0.0002925762,0.0008355037,0.001804455,0.0003736132,0.0007134873,0.001484025,0.0009616595,0.04733071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106639,"about_ca_system_score_gemma":0.0007479221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470135,"about_ca_topic_score_gemma":0.06979206,"domain_scores_codex":[0.9993953,0.0001046343,0.00003741389,0.0001860273,0.0001645662,0.0001121632],"domain_scores_gemma":[0.9993793,0.0001529376,0.00007824984,0.0001496066,0.000133703,0.000106178],"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":[0.0002439552,0.00008534574,0.005195916,0.0006355499,0.0000533102,0.0000955037,0.00009663435,0.0005009126,0.0007378993,0.0005714854,0.9770952,0.01468823],"study_design_scores_gemma":[0.0001649198,0.0001180188,0.06667014,0.0005812552,0.00007384057,0.000381959,0.0004120925,0.002739157,0.001750192,0.001542297,0.9254647,0.000101481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006577437,0.0005748059,0.0002653397,0.0001331893,0.0001717063,0.00004640574,0.9867742,0.0007005859,0.004756321],"genre_scores_gemma":[0.006538752,0.000120384,0.0005626554,0.00008162013,0.00002576391,0.0000950941,0.9899641,0.0001169897,0.002494633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03804226,"threshold_uncertainty_score":0.1272641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047530895995086,"score_gpt":0.2739298240282441,"score_spread":0.2434545150682933,"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."}}