{"id":"W7037373947","doi":"","title":"Episode 101: Foothills Major Baseball Association","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foothills; League; Association (psychology); Football; Field (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003244943,0.0003932911,0.0002035412,0.0004107137,0.003553563,0.003179874,0.0007028483,0.002180504,0.4887688],"category_scores_gemma":[0.001342855,0.0002344796,0.0001594824,0.0005567335,0.0001700226,0.001576683,0.002299746,0.002561407,0.1869584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388638,"about_ca_system_score_gemma":0.001875771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05138278,"about_ca_topic_score_gemma":0.1652461,"domain_scores_codex":[0.9994618,0.00002870878,0.00001196545,0.00003776404,0.0002016509,0.0002582149],"domain_scores_gemma":[0.9992383,0.00003626179,0.00002845119,0.0000250694,0.0001897701,0.0004822477],"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":[0.00001100623,0.00002510915,0.0002956853,0.00002092673,5.262112e-7,0.0001110843,0.0001192003,0.00001017139,0.00006037192,0.0005578526,0.9902256,0.008562417],"study_design_scores_gemma":[0.000004401121,0.00001021364,0.002132301,0.00002867612,5.380656e-7,0.00005195898,0.0004946216,0.00001719684,0.00005391458,0.0001279575,0.9970758,0.000002564811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003419796,0.0002650708,0.0001697065,0.006810069,0.002121429,0.0002128304,0.005373254,0.0004530278,0.9811748],"genre_scores_gemma":[0.008181216,0.0001806014,0.00004811448,0.003141229,0.0003577705,0.00005200129,0.002520438,0.0001255709,0.9853931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4887688,"threshold_uncertainty_score":0.7292092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003681922249899476,"score_gpt":0.158663863294107,"score_spread":0.1549819410442075,"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."}}