{"id":"W3124950848","doi":"","title":"Raising Financing Through Strategic Timing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Timeline; Venture capital; Business; Raising (metalworking); Finance; Fund raising; Value (mathematics); Key (lock); New Ventures; Social venture capital; Entrepreneurship; Economics; Economic growth","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":[0.01965907,0.0009045778,0.0005507848,0.003060293,0.003264076,0.02021962,0.001678474,0.006484259,0.06267384],"category_scores_gemma":[0.09351293,0.0006101418,0.0006061809,0.002372371,0.003470453,0.02010593,0.01230132,0.009132875,0.01774037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006463621,"about_ca_system_score_gemma":0.0218816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921905,"about_ca_topic_score_gemma":0.002028608,"domain_scores_codex":[0.9874706,0.004370184,0.0005518264,0.001003125,0.003757184,0.00284711],"domain_scores_gemma":[0.9350252,0.02531884,0.006669271,0.003970027,0.009743998,0.01927262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001024413,0.0001331999,0.002456608,0.0002439264,0.00003048116,0.0004363927,0.0009296859,0.001632246,0.000838607,0.6333608,0.2151502,0.1446854],"study_design_scores_gemma":[0.0001214844,0.0001387211,0.001237402,0.0006217918,0.00002526579,0.0002931177,0.001070485,0.001583054,0.0008292816,0.3130385,0.6809597,0.00008116596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01684464,0.006085101,0.094485,0.3316512,0.01012642,0.0005886109,0.0003826393,0.002021647,0.5378147],"genre_scores_gemma":[0.6823695,0.01228778,0.0509022,0.06666026,0.01077811,0.001102485,0.0007579676,0.001183154,0.1739586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06267384,"threshold_uncertainty_score":0.2096649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04312453956018501,"score_gpt":0.3124822735993109,"score_spread":0.2693577340391259,"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."}}