{"id":"W4293391026","doi":"10.38105/spr.0tnwlcw5of","title":"Helping deep tech founders build in strange shores","year":2022,"lang":"en","type":"article","venue":"","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Competition (biology); Liberian dollar; Entrepreneurship; High tech; International trade; Immigration policy; Business; Political science; Economy; Economics; Finance; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650124,0.0005196403,0.00040513,0.001456157,0.009340051,0.01148981,0.001065363,0.002011606,0.03277968],"category_scores_gemma":[0.01365636,0.0004652129,0.0004583538,0.000709037,0.003480669,0.006665275,0.01132137,0.003278533,0.01415083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519985,"about_ca_system_score_gemma":0.003537062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989426,"about_ca_topic_score_gemma":0.01171951,"domain_scores_codex":[0.9971803,0.0009585454,0.00006771599,0.0002213075,0.0006307971,0.0009413264],"domain_scores_gemma":[0.9867939,0.001176485,0.001232267,0.000789697,0.001565789,0.008441836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185221,0.0007198385,0.09362415,0.0001755605,0.00005378576,0.002017894,0.1152542,0.0001740621,0.00278883,0.02903291,0.4707996,0.2852407],"study_design_scores_gemma":[0.00002618425,0.0002047124,0.01659922,0.0003742145,0.00003744299,0.001122983,0.2642254,0.0004266389,0.0005812354,0.01595039,0.7003918,0.00005983207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6667271,0.00218016,0.004868032,0.06823016,0.004063256,0.0001822373,0.0001950751,0.0006976702,0.2528563],"genre_scores_gemma":[0.8067944,0.00213521,0.005516254,0.01358057,0.0004805016,0.0001203327,0.0002560558,0.0002844216,0.1708322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03277968,"threshold_uncertainty_score":0.1096589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221690673965932,"score_gpt":0.2326003066245747,"score_spread":0.2104312392279815,"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."}}