{"id":"W2152440077","doi":"10.2139/ssrn.1486628","title":"Networks and High-Tech Innovation in Vancouver: An Application of Q-Analysis to ISRN Intervews","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"High tech; Business; Sociology; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03466067,0.0001012512,0.0002864752,0.002238549,0.0001294166,0.0001134263,0.0008349484,0.00009394358,0.00001851453],"category_scores_gemma":[0.0008366687,0.00007510966,0.00006745689,0.009070577,0.00008564605,0.0005872469,0.00008835481,0.001225393,0.000006088134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003673457,"about_ca_system_score_gemma":0.0003889413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004761087,"about_ca_topic_score_gemma":0.05985965,"domain_scores_codex":[0.9959189,0.0001554493,0.001102698,0.0003805584,0.001181991,0.00126038],"domain_scores_gemma":[0.998419,0.0002728517,0.0004319644,0.0003020201,0.0004505011,0.0001235911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001293138,0.00009643326,0.1520671,0.000001128837,0.00007483297,0.00000144504,0.0003558962,0.006495667,0.00269053,0.06894754,0.0002177388,0.7689224],"study_design_scores_gemma":[0.0007414097,0.0008208003,0.2636444,0.00001267713,0.0000576505,0.00002802716,0.008083546,0.04000393,0.001048738,0.6830726,0.00218783,0.0002983966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5232741,0.0001019115,0.4761513,0.0002057846,0.00004682715,0.00008268414,4.783457e-7,0.000003978167,0.000132887],"genre_scores_gemma":[0.9986922,0.000184625,0.0004720402,0.0001053529,0.0001139631,0.000003110918,0.000001577555,0.000005452384,0.0004217459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.768624,"threshold_uncertainty_score":0.99402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270760241507736,"score_gpt":0.3958393618372166,"score_spread":0.3631317594221393,"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."}}