{"id":"W4312062508","doi":"10.5281/zenodo.6907417","title":"D2.1. Identification of Key Stakeholders and Implementation of the ARICE Industry Liaison Panel (ILP) with ToR","year":2019,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Natural Environment Research Council; Centre National de la Recherche Scientifique; Université Laval","keywords":"Identification (biology); Key (lock); Computer science; Business; Operations management; Operations research; Process management; Engineering; Biology; Computer security; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03092469,0.0006806371,0.0004677588,0.002266316,0.005962934,0.009451808,0.002286873,0.004706031,0.03930281],"category_scores_gemma":[0.01938493,0.0005930173,0.0007480362,0.00149963,0.001287428,0.003098037,0.00712125,0.004165562,0.01568802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01009434,"about_ca_system_score_gemma":0.04070468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02787851,"about_ca_topic_score_gemma":0.04191644,"domain_scores_codex":[0.9798236,0.00612009,0.001199406,0.001570971,0.005287215,0.005998573],"domain_scores_gemma":[0.9762797,0.004059145,0.001546586,0.0009446043,0.01275632,0.00441365],"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":[0.0007540288,0.001333601,0.04806664,0.002560423,0.00004443282,0.003134413,0.02769199,0.003254019,0.02274549,0.1384629,0.5726345,0.1793176],"study_design_scores_gemma":[0.00006797813,0.0002305773,0.03097216,0.000890407,0.00001175517,0.0003793816,0.02639656,0.001044517,0.007140488,0.005870701,0.9269075,0.00008782631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09708609,0.001536507,0.04617214,0.06936935,0.001724092,0.02429371,0.01675269,0.0007798193,0.7422856],"genre_scores_gemma":[0.332192,0.001462677,0.09055527,0.02369488,0.0006889828,0.02426923,0.01816341,0.0003478351,0.5086258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03930281,"threshold_uncertainty_score":0.1635473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766234222306604,"score_gpt":0.2868746574030277,"score_spread":0.1102512351723673,"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."}}