{"id":"W7054921287","doi":"","title":"Behind the Headlines: Jac Cashin defies Down syndrome limits at Saskatoon track meet","year":2024,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boosting (machine learning); Track (disk drive); Race (biology); Racism","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":[0.000419084,0.0005351125,0.0003046133,0.0006136722,0.005862598,0.001790573,0.000705682,0.002609856,0.2073529],"category_scores_gemma":[0.001314884,0.0002412767,0.0002785486,0.0002923484,0.0004922401,0.0009131638,0.001699495,0.005067378,0.04550706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355622,"about_ca_system_score_gemma":0.006663737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.224661,"about_ca_topic_score_gemma":0.5412381,"domain_scores_codex":[0.9996481,0.00002232299,0.000007791678,0.0000373919,0.00009114814,0.0001932383],"domain_scores_gemma":[0.9983442,0.00005240487,0.00001665108,0.00002185842,0.0003898021,0.001175088],"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":[0.000006210191,0.00001377851,0.0005239195,0.00000498726,8.019591e-7,0.0005011683,0.00006305927,0.00000691788,0.00007685053,0.000166675,0.9938847,0.00475091],"study_design_scores_gemma":[0.0000143802,0.00003064989,0.003924597,0.00009447874,0.000004440239,0.001007397,0.002094381,0.00005112445,0.0001526826,0.0004066676,0.9922009,0.00001832585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01521761,0.002139855,0.0005821307,0.2924397,0.03934105,0.0002260011,0.002943115,0.00106204,0.6460485],"genre_scores_gemma":[0.02615606,0.001399816,0.0004216198,0.04852525,0.001904676,0.00007241475,0.0007050827,0.0002835944,0.9205315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.775339,"threshold_uncertainty_score":0.6936645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526073011849055,"score_gpt":0.2268550397594104,"score_spread":0.2115943096409198,"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."}}