{"id":"W7025305338","doi":"","title":"Unearned Runs Plague Golden Eagles in Pair of Losses to Wayne State","year":2016,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plague (disease); State (computer science); Netting; Electrocution","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":[0.0005381992,0.0008050047,0.0002692306,0.0005579274,0.006873263,0.002762561,0.0007238035,0.001053098,0.04228891],"category_scores_gemma":[0.001331325,0.0005552975,0.0003277105,0.0001544555,0.001431729,0.001279584,0.004248662,0.00272774,0.007992541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228706,"about_ca_system_score_gemma":0.001924426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07668791,"about_ca_topic_score_gemma":0.3295289,"domain_scores_codex":[0.999421,0.00005653662,0.0000189775,0.0001443859,0.0001502321,0.0002089131],"domain_scores_gemma":[0.9989905,0.00007037185,0.00005209283,0.00006715737,0.0002027936,0.0006171619],"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":[0.0002879632,0.0002620725,0.03070384,0.0000972849,0.00007268798,0.003548975,0.007857313,0.0003866408,0.005783749,0.01225288,0.80207,0.1366768],"study_design_scores_gemma":[0.00003136807,0.000400462,0.04001777,0.000241543,0.0000341663,0.001638236,0.01287583,0.0005087586,0.00305631,0.001859152,0.9392738,0.00006262433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3929038,0.001946555,0.002942447,0.03167244,0.002814639,0.0001566284,0.0006097187,0.001778234,0.5651756],"genre_scores_gemma":[0.362926,0.001097511,0.001698435,0.004967954,0.0001520657,0.0000779461,0.0004872579,0.0002950654,0.6282977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9577111,"threshold_uncertainty_score":0.152483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304214318045726,"score_gpt":0.1957667394907801,"score_spread":0.1827245963103228,"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."}}