{"id":"W4304845551","doi":"10.1142/s1363919622400278","title":"SUCCESS OF OPEN INNOVATION EVENTS FOR SOLVERS","year":2022,"lang":"en","type":"article","venue":"International Journal of Innovation Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Open innovation; Solver; Event (particle physics); Knowledge management; Computer science; Affect (linguistics); Open source; Design science; Process management; Business; Marketing; Psychology","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":[0.001570284,0.0001019246,0.0001633318,0.001824047,0.0001231578,0.0001978778,0.001742194,0.00001859004,0.0007333946],"category_scores_gemma":[0.000166921,0.0001014407,0.00004609265,0.002396665,0.00002284255,0.002029903,0.0009794669,0.0001086778,0.000005757187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122258,"about_ca_system_score_gemma":0.00004386059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004622435,"about_ca_topic_score_gemma":0.000002750861,"domain_scores_codex":[0.9978366,0.000008597379,0.001087063,0.0001421602,0.0008141373,0.0001113632],"domain_scores_gemma":[0.9943677,0.00002561217,0.002002954,0.0001346908,0.00346576,0.000003245182],"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":[0.0005161838,0.0003124196,0.008971098,0.000100073,0.0002879135,0.000008311225,0.00002344301,0.001892798,0.0006779755,0.8929248,0.04540294,0.04888197],"study_design_scores_gemma":[0.002518619,0.00006840679,0.0154569,0.000135758,0.00008090323,0.00001379099,0.0007120821,0.001686045,0.0008864456,0.08153245,0.8966448,0.0002637677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5452982,0.00004988321,0.3976552,0.0163379,0.01343042,0.001858055,0.0001382284,0.00004424484,0.02518784],"genre_scores_gemma":[0.9936776,0.000007058664,0.002560935,0.002325669,0.0005382246,0.0000463285,0.0002803777,0.0000148995,0.0005489337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8512419,"threshold_uncertainty_score":0.8030156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041340746510649,"score_gpt":0.3693765982180052,"score_spread":0.2652425235669403,"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."}}