{"id":"W7132433588","doi":"","title":"Sigma Ventures: Evaluating an Early-Stage Venture Capital Investment (B)","year":2023,"lang":"en","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Venture capital; Social venture capital; Investment (military); Capital (architecture); Pre-money valuation; Corporate venture capital","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005657422,0.0008839667,0.0006463779,0.0007440507,0.0007525192,0.0002130908,0.0008090871,0.0009603376,0.0007191823],"category_scores_gemma":[0.000354459,0.0009103682,0.0003733226,0.0004593866,0.0008281106,0.000369302,0.0002689078,0.001006456,0.004886501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761164,"about_ca_system_score_gemma":0.001767419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689877,"about_ca_topic_score_gemma":0.0006391548,"domain_scores_codex":[0.994421,0.000363733,0.0007356412,0.001410725,0.002307901,0.0007609656],"domain_scores_gemma":[0.9971008,0.00008713509,0.0007772957,0.001330307,0.0001864292,0.0005179743],"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":[0.0004150299,0.00180151,0.004121741,0.001070389,0.002791952,0.009009189,0.0029751,0.01105194,0.02014417,0.136245,0.8092555,0.001118388],"study_design_scores_gemma":[0.001564956,0.000496546,0.006031245,0.002102616,0.0004164153,0.0002938078,0.0003177814,0.000438626,0.0008026685,0.000545272,0.9850961,0.001893983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05345203,0.004954468,0.00004311634,0.00001883007,0.01183888,0.001766056,0.001399113,0.004909613,0.9216179],"genre_scores_gemma":[0.04831235,0.00006413177,0.001119478,0.0002811911,0.007200499,0.0005854187,0.001407768,0.00434469,0.9366845],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1758405,"threshold_uncertainty_score":0.9993347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661973132210079,"score_gpt":0.3142349224989144,"score_spread":0.2776151911768136,"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."}}