{"id":"W4413314961","doi":"10.2139/ssrn.5395413","title":"Database, Methodological Tools, and Research Opportunities: Creative Destruction Lab and Early-Stage Technology Ventures","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Creative Destruction Lab","funders":"","keywords":"Stage (stratigraphy); Database; Data science; Computer science","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":[0.02585172,0.0003753896,0.000690657,0.009202141,0.001777566,0.01394021,0.002083468,0.002044984,0.01330819],"category_scores_gemma":[0.0704556,0.0003409952,0.0004185293,0.02147815,0.002618178,0.009029636,0.004626052,0.001767963,0.001774783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771056,"about_ca_system_score_gemma":0.003907454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508733,"about_ca_topic_score_gemma":0.00386396,"domain_scores_codex":[0.9860891,0.0102555,0.001019179,0.0007542091,0.00135809,0.0005239084],"domain_scores_gemma":[0.8355923,0.1359141,0.006665261,0.0101825,0.006949625,0.004696205],"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":[0.001736502,0.0008483521,0.1112201,0.001529294,0.0001446649,0.0006654796,0.01159505,0.001372805,0.0009757882,0.4259208,0.03517879,0.4088123],"study_design_scores_gemma":[0.0005224433,0.0004864218,0.1294613,0.002851963,0.0003117179,0.001473759,0.03954826,0.0138177,0.0065873,0.4967808,0.3079359,0.0002224495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4843966,0.08886515,0.1441501,0.07539858,0.00133977,0.0007282142,0.0171509,0.001354087,0.1866165],"genre_scores_gemma":[0.9170351,0.0131783,0.04579857,0.002209774,0.0006945817,0.0004579472,0.006231153,0.0003425675,0.0140519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02585172,"threshold_uncertainty_score":0.1367186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2195516298971731,"score_gpt":0.3822478509981957,"score_spread":0.1626962211010226,"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."}}