{"id":"W6931565566","doi":"10.5281/zenodo.8374433","title":"ALL-Ready – Europees Living Lab- en Onderzoeksinfrastructuurnetwerk voor Agro-ecologie: voorbereidingsfase","year":2023,"lang":"nl","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme","keywords":"Work (physics); Government (linguistics); Perspective (graphical); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003586858,0.0004759534,0.0004336132,0.001024203,0.004719519,0.002203832,0.002296877,0.0003955876,0.01917217],"category_scores_gemma":[0.004639446,0.0005275161,0.0001092801,0.003582915,0.000564482,0.001020121,0.007565742,0.001015433,0.0854779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696995,"about_ca_system_score_gemma":0.00001443555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004572218,"about_ca_topic_score_gemma":0.000001140016,"domain_scores_codex":[0.9960667,0.0004244141,0.0006992696,0.0009646528,0.0006583187,0.001186667],"domain_scores_gemma":[0.9974437,0.0001507254,0.0004712186,0.000628439,0.001234594,0.00007136072],"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":[0.000058146,0.0002321047,0.0003456036,0.0004095605,0.0003666916,0.0001396566,0.002119387,0.0000525838,0.001314906,0.09034357,0.849955,0.05466278],"study_design_scores_gemma":[0.0004811127,0.00007924962,0.0306609,0.0001449071,0.00007902022,0.00002451491,0.002723915,0.0008415859,0.0001184059,0.001431997,0.9628041,0.0006103026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3045169,0.0001780344,0.001476456,0.009448345,0.002153631,0.001996997,0.0003055051,0.00900968,0.6709145],"genre_scores_gemma":[0.9767401,0.0002929853,0.0003443866,0.001367992,0.00128642,3.710633e-7,0.003527688,0.002423793,0.0140163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6722232,"threshold_uncertainty_score":0.9997177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425149576029901,"score_gpt":0.2575349158708672,"score_spread":0.2032834201105682,"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."}}