{"id":"W7036838058","doi":"","title":"Civics Challenge Steubenville vs Toronto","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civics; Government (linguistics); Public policy","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":[0.000660875,0.0009111297,0.0005737481,0.0008188937,0.009305488,0.006605532,0.001084968,0.00618998,0.595888],"category_scores_gemma":[0.001793383,0.0006297583,0.0003805147,0.001500479,0.001288633,0.002631271,0.003157693,0.00663259,0.2637205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01139418,"about_ca_system_score_gemma":0.01537983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5323815,"about_ca_topic_score_gemma":0.877818,"domain_scores_codex":[0.9988078,0.00004959275,0.00002098888,0.0001493534,0.0004916608,0.0004806761],"domain_scores_gemma":[0.9982476,0.0001211165,0.00004873279,0.00007745911,0.0004999197,0.001005098],"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":[0.00001770679,0.00001051777,0.00008692702,0.00001109632,6.334173e-7,0.00001943292,0.00004154758,0.00001154188,0.00002810287,0.002308208,0.9942151,0.003249168],"study_design_scores_gemma":[0.000006147834,0.000004947986,0.001043255,0.00002423022,9.997966e-7,0.000006386277,0.0002257322,0.00001622192,0.00005061329,0.0001337987,0.9984829,0.000004917062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007957336,0.001055619,0.00006094178,0.01514882,0.001645415,0.00004104295,0.003297685,0.000156144,0.9777985],"genre_scores_gemma":[0.002598909,0.0001888049,0.00002148253,0.001180473,0.00008396757,0.00001655474,0.0005378404,0.0000819206,0.99529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.595888,"threshold_uncertainty_score":0.9407448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901642759127343,"score_gpt":0.1933531442171176,"score_spread":0.1843367166258441,"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."}}