{"id":"W4383756426","doi":"10.1021/cen-10122-reactions","title":"Reactions","year":2023,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Intramuscular injections and effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001170944,0.00008017594,0.0001138478,0.00006101923,0.00007614739,0.00001607001,0.00004608587,0.00006567511,0.0001538347],"category_scores_gemma":[0.0001230139,0.00007047286,0.000119963,0.0004901874,0.00002510672,0.00004249733,0.00003496554,0.00009972193,0.002406475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379959,"about_ca_system_score_gemma":0.00004031512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009497858,"about_ca_topic_score_gemma":0.000007743652,"domain_scores_codex":[0.9993623,0.00002536849,0.0001134701,0.0001543665,0.0001360132,0.0002084087],"domain_scores_gemma":[0.999577,0.00002229746,0.00001801018,0.0002313159,0.00003984283,0.000111476],"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":[0.0007848408,0.001160398,0.1059817,0.0006225704,0.00084894,0.00247402,0.0009790855,0.0006159831,0.01580792,0.02004036,0.7303193,0.1203648],"study_design_scores_gemma":[0.002141142,0.0005138573,0.2835935,0.0003116275,0.0002312769,0.001092294,0.0005266864,0.004665697,0.0008720728,0.001206089,0.7045273,0.0003184416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092932,0.00006788591,0.0009895667,0.001570152,0.00115249,0.0002872352,0.00002248943,0.0006245424,0.08599248],"genre_scores_gemma":[0.9954783,0.00005179018,0.0002357957,0.0003380103,0.0002372861,0.00002322089,0.0000377918,0.00001035065,0.003587402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776118,"threshold_uncertainty_score":0.9983703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008518427456788125,"score_gpt":0.3015681469917409,"score_spread":0.2930497195349528,"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."}}