{"id":"W6961170454","doi":"10.1371/journal.pone.0288594.s003","title":"S1 Data -","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Football; Elite; Football team; Affect (linguistics); Quarter (Canadian coin); Age groups","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":[0.006772567,0.001616631,0.001817549,0.008623921,0.002099475,0.003906883,0.003911099,0.004177216,0.725606],"category_scores_gemma":[0.04527906,0.001289668,0.001353688,0.01230996,0.001029926,0.003402721,0.004306389,0.003212785,0.3613106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199547,"about_ca_system_score_gemma":0.0088405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201977,"about_ca_topic_score_gemma":0.01809754,"domain_scores_codex":[0.9948097,0.0007461278,0.001256992,0.00106869,0.001461827,0.0006565665],"domain_scores_gemma":[0.9711288,0.01371624,0.002681926,0.003489554,0.007601454,0.001382094],"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":[0.0003571032,0.0001006174,0.00304557,0.003197383,0.0000594454,0.00013648,0.0002316953,0.0005391553,0.0004541659,0.002779079,0.977194,0.0119054],"study_design_scores_gemma":[0.0004311121,0.00009258463,0.0060235,0.002403104,0.00005435445,0.0001551338,0.0006099151,0.0005219914,0.0003593098,0.004477582,0.9847861,0.00008539518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002358023,0.00004610397,0.0003831721,0.0001833484,0.0001054936,0.0001157209,0.9956362,0.0003987461,0.002895429],"genre_scores_gemma":[0.002882845,0.0002618521,0.004508224,0.0008080889,0.00006612801,0.001912572,0.9782788,0.0006863942,0.0105951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.725606,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815228175577106,"score_gpt":0.2923825534336937,"score_spread":0.2342302716779227,"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."}}