{"id":"W4400463209","doi":"10.1111/radm.12705","title":"Engaging with startups through corporate accelerators: the case of H‐FARM's White Label Accelerator","year":2024,"lang":"en","type":"article","venue":"R and D Management","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Business; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0003500253,0.0002032535,0.0001750295,0.0001210499,0.0002674564,0.000696454,0.0001918454,0.00003501113,0.0001005733],"category_scores_gemma":[0.000005761708,0.0001272843,0.00004199036,0.0004943719,0.0001042569,0.0009292454,0.0003815218,0.0001635917,0.00003989547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001607644,"about_ca_system_score_gemma":0.00001018949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082049,"about_ca_topic_score_gemma":0.0001090113,"domain_scores_codex":[0.9990355,0.00001393935,0.0002149396,0.0003171005,0.0001638292,0.0002547428],"domain_scores_gemma":[0.9995138,0.0000288657,0.0001198927,0.0002670858,0.000056708,0.0000136167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001028489,0.00014758,0.001809029,0.002939932,0.0004566905,0.003904266,0.0009103576,0.0000416312,0.0001720066,0.9350225,0.01568215,0.03881099],"study_design_scores_gemma":[0.004279138,0.0002281636,0.004711378,0.001493742,0.001686893,0.0004037608,0.01899174,0.01322975,0.0007752191,0.05554071,0.89689,0.00176954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431471,0.002727045,0.003424959,0.003718709,0.0007248807,0.0008951821,0.0000146419,0.0003054594,0.04504199],"genre_scores_gemma":[0.997068,0.0002141887,0.0003317161,0.001508879,0.0004070433,0.00003605204,0.00001350923,0.00002755014,0.0003930117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8812078,"threshold_uncertainty_score":0.6715922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442605302197738,"score_gpt":0.2466484814693604,"score_spread":0.2023879512495866,"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."}}