{"id":"W6948721417","doi":"10.5281/zenodo.10042096","title":"Policy brief: Living Lab Networks in Agriculture: Success Factors and Policy Implications","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"European Commission","keywords":"Consolidation (business); Success factors; Key (lock); Adaptation (eye); Living lab; Enabling","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":[0.01120259,0.0009697616,0.0007922428,0.001725508,0.002618563,0.009525153,0.003060465,0.02685283,0.08271051],"category_scores_gemma":[0.03504708,0.0005348866,0.0006287459,0.003223253,0.002016263,0.009452876,0.003708396,0.009142097,0.01689177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009799299,"about_ca_system_score_gemma":0.02071315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01868229,"about_ca_topic_score_gemma":0.02032976,"domain_scores_codex":[0.9933444,0.001963367,0.0003409625,0.0005965195,0.002502063,0.001252691],"domain_scores_gemma":[0.9565864,0.02840322,0.002109722,0.0008061923,0.006988966,0.005105602],"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":[0.0001103635,0.00006500523,0.000530383,0.0003965723,0.000007109115,0.0001871984,0.0001041485,0.0006587215,0.0003049744,0.08090198,0.8805465,0.03618713],"study_design_scores_gemma":[0.0000646847,0.00004335389,0.001631802,0.0008437482,0.00002128379,0.0001588339,0.0005240531,0.001047703,0.0005505039,0.02194759,0.9731194,0.00004680271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002426775,0.009309045,0.002660654,0.8319553,0.01336734,0.0002243449,0.005252467,0.0003366688,0.1344674],"genre_scores_gemma":[0.0561966,0.02417026,0.006839007,0.3780026,0.01241933,0.001288988,0.005898933,0.0004325286,0.5147517],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08271051,"threshold_uncertainty_score":0.2766942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305722688653519,"score_gpt":0.2671215660984131,"score_spread":0.2540643392118779,"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."}}