{"id":"W7020930681","doi":"","title":"MLS has 'a lot of things to improve,' says Drogba","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Club; Football","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002673029,0.0009531064,0.00139764,0.0009102427,0.00003790832,0.0001891148,0.001783757,0.0001504574,0.01636533],"category_scores_gemma":[0.00004656918,0.0008752365,0.0007665826,0.0002623656,0.0005415478,0.0001501163,0.001017803,0.0008980965,0.002965627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005127266,"about_ca_system_score_gemma":0.0002915463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05541998,"about_ca_topic_score_gemma":0.004013913,"domain_scores_codex":[0.9960245,0.0002132436,0.0009277475,0.001274843,0.0006517856,0.0009078385],"domain_scores_gemma":[0.9971921,0.000155573,0.0007285181,0.001121125,0.0000912301,0.0007113927],"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":[0.0002059753,0.000303453,0.001286086,0.00009263986,0.001335025,0.00001987615,0.005354877,0.000008580841,0.004086609,0.007805113,0.9785762,0.0009255687],"study_design_scores_gemma":[0.0008782345,0.000745723,0.00008164156,0.001270729,0.0003992993,0.00000349825,0.0003563224,0.001588162,0.007106618,0.009309242,0.9771668,0.001093739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007439535,0.0001468419,0.05656048,0.0001797505,0.0006546489,0.0008119472,0.001782292,0.0001744616,0.9389457],"genre_scores_gemma":[0.05403428,0.00001170211,0.005925153,0.0002657754,0.001291836,0.000101627,0.001106633,0.0005521507,0.9367108],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05329033,"threshold_uncertainty_score":0.9993699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029076159421353,"score_gpt":0.2457437451420688,"score_spread":0.2354529835478553,"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."}}