{"id":"W7043937539","doi":"","title":"Venture Investment into U.S. Companies Levels Off in Second Quarter of 2011 Software a Bright Spot in Healthcare and IT Sligh...","year":2011,"lang":"en","type":"other","venue":"","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Software; Health care; Venture capital","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":[0.0004439034,0.000340834,0.0001059461,0.001254629,0.00136591,0.00314099,0.0002312386,0.001194186,0.03549346],"category_scores_gemma":[0.002294883,0.0002046885,0.0002421229,0.001895786,0.0002797148,0.001298114,0.001116671,0.001254848,0.01117896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488462,"about_ca_system_score_gemma":0.005216247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08828739,"about_ca_topic_score_gemma":0.3393889,"domain_scores_codex":[0.9996206,0.00003083795,0.00001399843,0.00002654774,0.0001834936,0.0001245629],"domain_scores_gemma":[0.9984236,0.0001757335,0.0002104834,0.00004465511,0.0006062802,0.0005393587],"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":[0.00004339359,0.00003240219,0.008840649,0.00005425124,0.000003921913,0.00003281642,0.00009718697,0.00009676682,0.00009392952,0.003225064,0.9291521,0.0583276],"study_design_scores_gemma":[0.00002049218,0.00005985504,0.1725587,0.0002938879,0.00001551332,0.0001543669,0.001664415,0.000653279,0.001053793,0.001325407,0.8221732,0.00002713137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1125627,0.01062851,0.0007134249,0.05874043,0.002198259,0.0001000883,0.08411296,0.001232766,0.7297109],"genre_scores_gemma":[0.1331231,0.009499111,0.0004194591,0.003000829,0.0002752213,0.00005640933,0.03334201,0.000199341,0.8200845],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08828739,"threshold_uncertainty_score":0.175547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415429547304927,"score_gpt":0.2343245056714755,"score_spread":0.2101702101984262,"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."}}