{"id":"W392012589","doi":"10.1108/02580540910943541","title":"Technology pioneers","year":2009,"lang":"en","type":"article","venue":"Strategic Direction","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Globe; Transformational leadership; Originality; Marketing; Business; China; Reading (process); Public relations; Sociology; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005235607,0.001177571,0.0005834269,0.004358211,0.003018535,0.01229392,0.001927208,0.002878166,0.1250835],"category_scores_gemma":[0.01143653,0.0005152797,0.00090005,0.003259387,0.001942559,0.009045214,0.00423164,0.003448823,0.04899286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004917335,"about_ca_system_score_gemma":0.00937455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819701,"about_ca_topic_score_gemma":0.003529524,"domain_scores_codex":[0.9935927,0.001259623,0.0004118083,0.0008567733,0.003034207,0.000844896],"domain_scores_gemma":[0.9911731,0.002269461,0.001107726,0.000944644,0.002573722,0.001931343],"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":[0.00005504415,0.0001080013,0.001197566,0.001942421,0.0000184179,0.0005333513,0.001895341,0.0001408921,0.001070219,0.1254545,0.5574104,0.3101739],"study_design_scores_gemma":[0.000004526464,0.00002303644,0.0002475064,0.0003154543,0.000004516305,0.0002526141,0.0004573483,0.00002153602,0.0002064427,0.001736098,0.9967239,0.000007003627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006215306,0.06860206,0.008699576,0.04223606,0.02251815,0.000671134,0.001174145,0.001093722,0.8487899],"genre_scores_gemma":[0.06075256,0.0899133,0.01926929,0.02585298,0.008307892,0.0007720666,0.002054936,0.0006029278,0.7924741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1250835,"threshold_uncertainty_score":0.4184461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159357771947151,"score_gpt":0.2564484096006535,"score_spread":0.244854831881182,"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."}}