{"id":"W6948609633","doi":"10.5281/zenodo.10090364","title":"D6.4 – Use Cases System Integration, Deployment & Experimentation V1","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fonds de Recherche du Québec – Nature et Technologies","funders":"European Commission","keywords":"Deliverable; Software deployment; Adaptation (eye); System deployment; SAFER; Work (physics)","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":[0.01647221,0.001903426,0.001047984,0.002584909,0.001247497,0.007815349,0.003429607,0.002244436,0.03606376],"category_scores_gemma":[0.03194247,0.001671618,0.001572577,0.001355604,0.001273801,0.004197496,0.004859619,0.002979639,0.03050906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435606,"about_ca_system_score_gemma":0.003678004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006547641,"about_ca_topic_score_gemma":0.003428521,"domain_scores_codex":[0.9758806,0.007968839,0.002224337,0.001723483,0.01111037,0.001092481],"domain_scores_gemma":[0.9813581,0.00595916,0.0007063196,0.006216333,0.005148231,0.0006118015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001583239,0.001416651,0.005721497,0.00515247,0.00033861,0.002599882,0.009411634,0.02267644,0.06489459,0.09427658,0.3278014,0.4641269],"study_design_scores_gemma":[0.0002127207,0.0003858802,0.002247376,0.0008415685,0.00006712746,0.0008081631,0.0006193246,0.01389792,0.04478629,0.01027519,0.9257135,0.0001449476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01873191,0.0007269345,0.6819595,0.001595963,0.00053797,0.008237867,0.01462636,0.1199585,0.1536251],"genre_scores_gemma":[0.1076886,0.001357063,0.6514642,0.001257716,0.0002216723,0.01140807,0.07167289,0.04179133,0.1131385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03606376,"threshold_uncertainty_score":0.1206453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405895426140101,"score_gpt":0.2545478910041714,"score_spread":0.1139583483901613,"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."}}