{"id":"W104812402","doi":"10.1021/cen-v083n047.p044","title":"BIOTECH EARNINGS JUMP IN QUARTER","year":2005,"lang":"en","type":"article","venue":"Chemical & Engineering News","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Jump; Economics; Business; Engineering; Accounting; Geography; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001231182,0.0000893075,0.0001242699,0.00005401582,0.00004441372,0.00003042395,0.0001174892,0.00009055297,0.0000846154],"category_scores_gemma":[0.000209107,0.00008826888,0.00004583519,0.0002071016,0.00004403774,0.0001272607,0.00002705118,0.0001652639,0.0001282632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000632928,"about_ca_system_score_gemma":0.00001815857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396372,"about_ca_topic_score_gemma":0.0001368945,"domain_scores_codex":[0.9992539,0.000009766615,0.0001342346,0.0001345282,0.000139323,0.0003282018],"domain_scores_gemma":[0.9997144,0.00006617974,0.00001689738,0.00008821687,0.00001202913,0.0001022166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006496688,0.0005710297,0.1025216,0.0001483736,0.0001085467,0.00004300611,0.2470474,0.003001329,0.4699409,0.0107661,0.05589146,0.1098953],"study_design_scores_gemma":[0.001020805,0.00004218555,0.01974841,0.0001334876,0.00001576633,0.000002595655,0.00413032,0.0009286088,0.04134849,0.0001688344,0.931661,0.0007995109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854838,0.0001880843,0.0002179274,0.003753037,0.00008081103,0.00006785923,6.841547e-7,0.0001359243,0.01007192],"genre_scores_gemma":[0.9981448,0.00002880404,0.0008701654,0.0001881745,0.000366881,0.000007031276,0.000001008111,0.000008613275,0.0003844996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8757696,"threshold_uncertainty_score":0.35995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214715210012811,"score_gpt":0.2658397938223747,"score_spread":0.2536926417222465,"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."}}