{"id":"W7039679489","doi":"","title":"Max Scherzer: Second Cy Young 'means so much more'","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"American Sports and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Moment (physics); Independence (probability theory); Magnetic noise; Quarter (Canadian coin)","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","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0001581411,0.001359146,0.001289266,0.000930197,0.0001286388,0.0008584163,0.00160715,0.0002516967,0.5337912],"category_scores_gemma":[0.00003066612,0.001013731,0.0008198899,0.00004558442,0.002790765,0.000227067,0.0007322201,0.001331464,0.007877465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007526363,"about_ca_system_score_gemma":0.0001602196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01616835,"about_ca_topic_score_gemma":0.06843852,"domain_scores_codex":[0.9955174,0.0002156108,0.0009339107,0.001520846,0.0006106652,0.001201615],"domain_scores_gemma":[0.9972976,0.0001795389,0.0008500667,0.001118702,0.00009728209,0.0004568041],"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":[0.0001425979,0.0001303283,0.0001589894,0.0001719898,0.0006733052,0.000300501,0.05021755,1.113013e-7,0.00004580532,0.07870833,0.8685195,0.0009310151],"study_design_scores_gemma":[0.0007337902,0.000267175,0.00007801592,0.001745747,0.0001244626,0.0000847654,0.001244033,0.00007340691,0.00003094474,0.001087155,0.9931909,0.001339601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000315868,0.000912167,0.001395988,0.0003690853,0.002934342,0.0007897709,0.006055934,0.0006419444,0.9865849],"genre_scores_gemma":[0.005974549,0.0001665125,0.0006218119,0.002041606,0.005880047,0.0001233972,0.001346446,0.001190407,0.9826552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5259137,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009474261698209691,"score_gpt":0.2216242779520087,"score_spread":0.212150016253799,"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."}}