{"id":"W2285542227","doi":"10.2139/ssrn.940478","title":"Do Location Characteristics Have Different Survival Values for High and Low-Technology De Novo Enterprises?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400567,0.0002032453,0.0004852342,0.001050037,0.0004475072,0.001424914,0.0006321941,0.001222113,0.009072845],"category_scores_gemma":[0.008326418,0.0001763776,0.0006314327,0.0009434021,0.0008985551,0.001377495,0.0007331996,0.0007857052,0.001676547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616339,"about_ca_system_score_gemma":0.0002304812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490143,"about_ca_topic_score_gemma":0.003904998,"domain_scores_codex":[0.999506,0.00008703016,0.00003452415,0.00009736613,0.0000475729,0.0002274816],"domain_scores_gemma":[0.9815435,0.008081632,0.006323314,0.0007584207,0.0006680028,0.002625144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004484992,0.00005741151,0.9916663,0.00001604077,0.0001055292,0.0001866566,0.0004311168,0.0002667416,0.001128153,0.0004093602,0.0001614514,0.005122731],"study_design_scores_gemma":[0.00001962468,0.0001472076,0.994478,0.00001043975,0.00007816234,0.0002589387,0.00246248,0.0006296097,0.0004029479,0.001265839,0.0002333586,0.00001343902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988598,0.00007878423,0.0001986977,0.0001139739,0.00000339289,0.000002391058,0.0001533458,0.000003881266,0.000585842],"genre_scores_gemma":[0.999571,0.00002201219,0.00002429265,0.00001526821,0.000003894816,8.104836e-7,0.0001050819,0.000002215939,0.0002553859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009072845,"threshold_uncertainty_score":0.0303517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009057403964092504,"score_gpt":0.2111577398020749,"score_spread":0.2021003358379824,"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."}}