{"id":"W7132629091","doi":"","title":"Intel? GrowthX: Partnering with Entrepreneurs for Growth","year":2022,"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":"Intrapreneurship; Leverage (statistics); Entrepreneurship; Process (computing); General partnership; Value (mathematics); Work (physics)","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":[0.00255065,0.0003897721,0.0001584927,0.001056973,0.005326008,0.006255409,0.001032411,0.001622181,0.04532924],"category_scores_gemma":[0.003974891,0.0002640193,0.0002999656,0.001393092,0.002144809,0.006491178,0.008893453,0.002093911,0.009806792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902397,"about_ca_system_score_gemma":0.004644345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878188,"about_ca_topic_score_gemma":0.007873536,"domain_scores_codex":[0.9975562,0.0008072328,0.00004268347,0.0002041978,0.0004427143,0.0009469486],"domain_scores_gemma":[0.9961907,0.0004343275,0.0002001865,0.000359335,0.0003248659,0.002490476],"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":[0.000214212,0.0007959992,0.03428773,0.0002641134,0.00001996196,0.009122196,0.03369458,0.0006291959,0.001557515,0.2605636,0.4145696,0.2442813],"study_design_scores_gemma":[0.00003836159,0.0001302228,0.004192835,0.0001526461,0.000007868281,0.001532129,0.02020204,0.0008552468,0.00105339,0.01278688,0.9590112,0.00003720399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.15759,0.001046703,0.01210293,0.03586067,0.0009872599,0.0004225798,0.0005792568,0.002102209,0.7893084],"genre_scores_gemma":[0.6836945,0.001177869,0.01153238,0.006385672,0.0002057394,0.0003970554,0.0009806483,0.0006240968,0.2950021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04532924,"threshold_uncertainty_score":0.1516414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319234510635077,"score_gpt":0.2318068174400771,"score_spread":0.2186144723337264,"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."}}