{"id":"W3167736157","doi":"","title":"Editorial: Insights (May 2021)","year":2021,"lang":"en","type":"editorial","venue":"Technology Innovation Management Review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computational biology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002314223,0.001163808,0.002154079,0.004620756,0.000247849,0.0001477139,0.002151574,0.003289083,0.002563994],"category_scores_gemma":[0.004020275,0.001179616,0.0002472967,0.02463908,0.0003240142,0.0003341961,0.001612921,0.003294075,0.01792959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759978,"about_ca_system_score_gemma":0.0004402345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007040693,"about_ca_topic_score_gemma":0.000009491635,"domain_scores_codex":[0.9915208,0.0002669994,0.002669863,0.001928695,0.002788245,0.0008253923],"domain_scores_gemma":[0.9894318,0.0001841208,0.00240514,0.003440594,0.004486417,0.0000519366],"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":[0.00000591166,0.0001236245,0.0000014734,0.01032025,0.0005933957,0.00008346359,0.000002425833,2.587254e-7,0.00003084078,0.06823886,0.8908147,0.02978485],"study_design_scores_gemma":[0.0006232744,0.00005609577,3.334739e-7,0.01771865,0.0009299462,0.000001614959,0.00002256537,4.916925e-7,0.00003949252,0.00383772,0.9757735,0.0009963602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[6.653352e-7,0.1191692,0.0001164985,0.001969293,0.8512172,0.002434718,0.0001010452,0.001547386,0.02344395],"genre_scores_gemma":[7.671621e-7,0.1969783,0.001050685,0.0003568333,0.7792708,0.001385872,0.008233791,0.0002792364,0.01244375],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08495882,"threshold_uncertainty_score":0.9990654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348071919530924,"score_gpt":0.3118887020867753,"score_spread":0.2984079828914661,"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."}}