{"id":"W4236665623","doi":"10.22215/timreview1006","title":"Editorial: Insights (August 2016)","year":2016,"lang":"en","type":"editorial","venue":"Technology Innovation Management Review","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000711575,0.0004381256,0.0006478152,0.000507526,0.0001310105,0.00003557085,0.001009305,0.0008968012,0.005372159],"category_scores_gemma":[0.000203481,0.0003410772,0.00005058458,0.002086562,0.0002231809,0.0002671961,0.001129633,0.0004877322,0.01025859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000596425,"about_ca_system_score_gemma":0.00004784609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001298301,"about_ca_topic_score_gemma":0.000004968299,"domain_scores_codex":[0.9971176,0.00002529746,0.001039405,0.0008135323,0.0006074229,0.0003967229],"domain_scores_gemma":[0.9981151,0.0000383884,0.0007708548,0.0009335125,0.0001127539,0.00002938369],"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":[0.000001707359,0.00002450602,0.00001598915,0.0007995496,0.00005575383,0.000004237006,0.000001045672,2.230027e-7,0.000007390678,0.003522498,0.9147421,0.08082499],"study_design_scores_gemma":[0.0002599761,0.00001761417,0.00001807055,0.002936888,0.00007305858,4.680098e-7,0.000001846996,1.644324e-7,0.000006415764,0.004387826,0.9918665,0.0004312302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000003823625,0.00515568,0.0002800136,0.00215971,0.9396322,0.0009529473,0.00001234235,0.0003455136,0.05145773],"genre_scores_gemma":[0.000003660474,0.1336206,0.0007992208,0.0006312456,0.8372303,0.0006047409,0.0003106546,0.00006003702,0.02673961],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1284649,"threshold_uncertainty_score":0.9999041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418848186103595,"score_gpt":0.2431521992011892,"score_spread":0.2357333510150856,"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."}}