{"id":"W7024285228","doi":"","title":"Saxons top Utica, 66-60, February 13, 2010","year":2010,"lang":"en","type":"other","venue":"Alfred University Research and Archives (AURA) (Alfred University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guard (computer science); Empire; Shot (pellet); National guard; Pace","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":[0.000574046,0.001211669,0.0003630018,0.0009390349,0.004938201,0.003284375,0.0007874374,0.001269822,0.5955772],"category_scores_gemma":[0.0008613667,0.0003809829,0.0002590305,0.0004343671,0.0004302184,0.001285083,0.002136805,0.001820988,0.3009061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571958,"about_ca_system_score_gemma":0.002281547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05322412,"about_ca_topic_score_gemma":0.3732746,"domain_scores_codex":[0.9996492,0.00001829953,0.00001177804,0.00006700198,0.0001565829,0.00009718524],"domain_scores_gemma":[0.9993814,0.00001772552,0.00001528541,0.00002365046,0.0003020605,0.0002599317],"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":[0.0000767854,0.00006121889,0.0006996897,0.0000292904,0.000001881265,0.0001089002,0.00007010325,0.00002637812,0.0003151476,0.0003946534,0.9831744,0.01504161],"study_design_scores_gemma":[0.00001299638,0.00004805359,0.003964096,0.00009336269,0.000002198932,0.00004128272,0.0002992026,0.00007190996,0.0002291783,0.0001163113,0.9951155,0.000005996261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00467351,0.001190885,0.0003258048,0.004011381,0.004956336,0.0001911673,0.007508616,0.001243139,0.9758992],"genre_scores_gemma":[0.00335311,0.0003089628,0.0001329568,0.0003189586,0.0001618384,0.00002379094,0.002012392,0.0001178544,0.9935702],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5955772,"threshold_uncertainty_score":0.57686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288604415500803,"score_gpt":0.2500361011883271,"score_spread":0.2211756596382468,"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."}}