{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01163335,0.0001823169,0.0004196132,0.002225524,0.0003372288,0.00008499155,0.001028713,0.0001270692,0.0001333837],"category_scores_gemma":[0.003832658,0.00008974747,0.00004663822,0.02679653,0.0005441516,0.0005423141,0.0002899553,0.0002355117,0.0003612832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225142,"about_ca_system_score_gemma":0.0001811556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001339913,"about_ca_topic_score_gemma":0.000004897681,"domain_scores_codex":[0.9955286,0.0003059554,0.001920295,0.0005965318,0.001347977,0.0003006428],"domain_scores_gemma":[0.9934057,0.000486887,0.001430743,0.0009187498,0.00373557,0.00002237794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007272333,0.000016992,0.000967859,0.0002432528,0.00003319307,0.0000327964,0.000006801552,0.000004335979,0.0009575757,0.8684397,0.07208077,0.05720942],"study_design_scores_gemma":[0.0007518516,0.0001421483,0.0005640884,0.003031756,0.00005116267,0.0006689261,0.003842809,0.0003427025,0.001565346,0.04880353,0.9398896,0.0003460831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6086879,0.04496238,0.07426057,0.2029871,0.002369678,0.01326106,0.0001520707,0.0006613769,0.05265791],"genre_scores_gemma":[0.9766629,0.008193882,0.0007088034,0.001769361,0.0001332483,0.0008171483,0.00002741051,0.0000178853,0.01166932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8678088,"threshold_uncertainty_score":0.9938894,"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."}}