{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000573877,0.0003365999,0.0003608437,0.001414448,0.0008152273,0.002645126,0.0003732136,0.001817686,0.02644986],"category_scores_gemma":[0.003525301,0.0001712742,0.0003479702,0.001052621,0.0002348548,0.0009516372,0.0008642998,0.002355634,0.0102902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157103,"about_ca_system_score_gemma":0.00101618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714697,"about_ca_topic_score_gemma":0.02534699,"domain_scores_codex":[0.9993858,0.00002231743,0.00002329573,0.00006265326,0.0003107283,0.0001950755],"domain_scores_gemma":[0.9987344,0.000152181,0.0002557479,0.00005947221,0.000432917,0.0003653556],"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":[0.001564315,0.0003035129,0.04043603,0.00008360732,0.00006032396,0.0005744888,0.0001432052,0.0006949437,0.001483756,0.011694,0.8472795,0.09568229],"study_design_scores_gemma":[0.0001354366,0.0004259301,0.4223006,0.00009637269,0.00007310073,0.0004063657,0.001106648,0.002253061,0.004928173,0.005474188,0.5627356,0.00006450478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.4022503,0.006251571,0.001400247,0.08999969,0.01514391,0.00008110091,0.04238007,0.002628547,0.4398646],"genre_scores_gemma":[0.6058841,0.001754458,0.0002781575,0.009861903,0.00253039,0.00003435788,0.02092205,0.0001630579,0.3585715],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02644986,"threshold_uncertainty_score":0.08848357,"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."}}