{"id":"W2774189260","doi":"","title":"Blood on the Tracks: 6 Years of Technical Entrepreneurship in Ottawa","year":2008,"lang":"en","type":"article","venue":"The open source business resource","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Computer science; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008417464,0.0002312951,0.0004829897,0.0003842821,0.0004872303,0.0004022688,0.008405514,0.0001664824,0.0004072408],"category_scores_gemma":[0.005232043,0.00012229,0.0001585831,0.004869672,0.001596363,0.0002927437,0.001181304,0.0006833845,0.0003425745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003802064,"about_ca_system_score_gemma":0.0002102894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005291461,"about_ca_topic_score_gemma":0.0002133876,"domain_scores_codex":[0.9933848,0.001003966,0.0009758542,0.0008503999,0.003129074,0.0006559259],"domain_scores_gemma":[0.9917151,0.005561416,0.0004070608,0.001888538,0.0002715426,0.0001563061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001342926,0.002659669,0.4830385,0.00003763014,0.00008702665,0.0006302587,0.01887821,0.02428045,0.01944231,0.006594148,0.2357009,0.207308],"study_design_scores_gemma":[0.0007622492,0.00006650643,0.5547096,0.00007740332,0.00001039662,0.0001236982,0.001492797,0.0003645957,0.0006856488,0.001822814,0.4396355,0.0002488146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604866,0.0001500033,0.0001572227,0.006350881,0.00005974481,0.0007113896,0.000007372285,0.00003545531,0.03204133],"genre_scores_gemma":[0.9870146,0.00003447634,0.00004674421,0.001012853,0.0001226354,0.00004456985,0.000001345234,0.00002537774,0.01169741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2070592,"threshold_uncertainty_score":0.9969595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131477947976263,"score_gpt":0.3577458123931739,"score_spread":0.2445980175955476,"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."}}