{"id":"W7054766655","doi":"","title":"AL quick look: Mariners' Nelson Cruz first to 15 homers","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; White (mutation); Bay; South carolina","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001347437,0.000994104,0.0008387763,0.0008652964,0.00002810998,0.000168719,0.001543483,0.0002184273,0.007934799],"category_scores_gemma":[0.00003832647,0.000995468,0.0003276841,0.0002413634,0.0002359971,0.00008267534,0.0007191878,0.0008821252,0.01257814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154195,"about_ca_system_score_gemma":0.00007843686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01020196,"about_ca_topic_score_gemma":0.0360752,"domain_scores_codex":[0.9967913,0.00009690933,0.0006453115,0.001023976,0.0004922439,0.000950236],"domain_scores_gemma":[0.997758,0.000170507,0.0001566319,0.001037991,0.00003756239,0.0008393617],"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":[0.00007968371,0.00008072531,0.000096804,0.0001723538,0.0004268585,0.00006634661,0.001822884,0.0004310386,0.0002429889,0.000850059,0.9952604,0.0004698586],"study_design_scores_gemma":[0.0006625366,0.0001952463,0.0001132796,0.0007389045,0.00008108596,0.000035179,0.0000630711,0.008317414,0.0001758776,0.0007013947,0.9878565,0.001059521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002729952,0.0002948365,0.03972659,0.0003682018,0.001213789,0.001171599,0.001783895,0.001433092,0.953735],"genre_scores_gemma":[0.007218475,0.0001604882,0.004325482,0.0006907296,0.0008584335,0.0003442799,0.001510128,0.001171094,0.9837209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0354011,"threshold_uncertainty_score":0.9992496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226120965586932,"score_gpt":0.225313007178225,"score_spread":0.2130517975223556,"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."}}