{"id":"W2585924826","doi":"10.22215/timreview/1038","title":"Profiling Regional Innovation Ecosystems as Functional Collaborative Systems: The Case of Cambridge","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Resolute Forest Products (Canada)","funders":"","keywords":"Profiling (computer programming); Ecosystem; Knowledge management; Business; Regional science; Computer science; Geography; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001589432,0.0002345143,0.0003816225,0.003314961,0.00130219,0.005047226,0.000992172,0.001031675,0.006598549],"category_scores_gemma":[0.005524521,0.0001757024,0.0004000999,0.004240669,0.003596071,0.003079768,0.002288757,0.0003535488,0.000407236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184567,"about_ca_system_score_gemma":0.001461239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06122091,"about_ca_topic_score_gemma":0.07010181,"domain_scores_codex":[0.998659,0.00066494,0.0000539868,0.0002423379,0.0001687813,0.0002109474],"domain_scores_gemma":[0.9980095,0.000929194,0.0003233307,0.0002163394,0.0003539317,0.0001677097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001095289,0.00002983063,0.03802636,0.0005313802,0.0001308133,0.002986675,0.01330376,0.01493245,0.002135125,0.8370066,0.003908459,0.08689899],"study_design_scores_gemma":[0.0001012956,0.0002326214,0.2401616,0.001502,0.0004380696,0.004035902,0.03780057,0.0623203,0.004541202,0.3439777,0.3046977,0.0001911179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7156535,0.03010647,0.03020681,0.004702695,0.00006711986,0.0001616737,0.0003241865,0.000123067,0.2186545],"genre_scores_gemma":[0.9899052,0.001814252,0.005205058,0.00006742574,0.00001486624,0.00002259755,0.00004558913,0.00001129862,0.002913734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986978,"threshold_uncertainty_score":0.1217291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334835656639499,"score_gpt":0.4155968873235321,"score_spread":0.2821133216595821,"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."}}