{"id":"W1827948451","doi":"10.2533/chimia.2015.298","title":"Biotech Meets Chemistry: Roche Invests in Customized Training","year":2015,"lang":"en","type":"article","venue":"CHIMIA International Journal for Chemistry","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Engineering; Mural; Training (meteorology); Engineering ethics; Medical education; Engineering management; Library science; Medicine; Computer science; Physics; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003769278,0.0001609607,0.0002680277,0.00007529874,0.00004830095,0.00003190895,0.0003203164,0.001711634,0.0001426231],"category_scores_gemma":[0.0007621485,0.0001391657,0.0001551253,0.0001147012,0.0001038286,0.00007153666,0.00005462392,0.002365771,0.000009050038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638121,"about_ca_system_score_gemma":0.0003393522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003899096,"about_ca_topic_score_gemma":8.264184e-7,"domain_scores_codex":[0.9988611,0.00000784117,0.0003809933,0.000211183,0.0002943091,0.0002445194],"domain_scores_gemma":[0.9991705,0.00003968985,0.0001645866,0.0001384449,0.0002528232,0.0002339793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001717331,0.0002575116,0.0009639788,0.00009272808,0.0005387375,0.0004692616,0.0008897534,0.00006446904,0.9787509,0.0001413483,0.01049358,0.005620445],"study_design_scores_gemma":[0.01485293,0.00005977645,0.0003324662,0.0005713953,0.00009280326,0.00660746,0.001006986,0.001285937,0.8993226,0.002385793,0.07315848,0.0003233366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486525,0.0005432876,0.0003964764,0.03930032,0.0009665472,0.0001510387,0.00001211413,0.00008930807,0.009888398],"genre_scores_gemma":[0.9932904,0.0002187867,0.002111005,0.0006321423,0.0008032998,0.00001651191,0.00007409642,0.00002532237,0.002828408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07942822,"threshold_uncertainty_score":0.9999358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05361560174456048,"score_gpt":0.3322041548324365,"score_spread":0.2785885530878761,"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."}}