{"id":"W6931460378","doi":"10.5281/zenodo.6418780","title":"Living Labs at Agriculture and Agri-Food Canada","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Agriculture; Government (linguistics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793896,0.001943406,0.001055095,0.002112563,0.004404705,0.003327442,0.003390716,0.001765314,0.2612335],"category_scores_gemma":[0.001945445,0.0008430411,0.0006387947,0.002149295,0.001858942,0.001165849,0.001835095,0.003052243,0.08505749],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01759811,"about_ca_system_score_gemma":0.0535168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7297543,"about_ca_topic_score_gemma":0.8697829,"domain_scores_codex":[0.9966763,0.0001918931,0.00004006709,0.0008664204,0.001689139,0.0005361073],"domain_scores_gemma":[0.9931241,0.00039158,0.0001372178,0.0003238276,0.004674882,0.001348456],"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":[0.0005042844,0.0002641208,0.001552561,0.0003462726,0.00003732155,0.0003096475,0.00027569,0.0005741792,0.02635127,0.02126545,0.8317211,0.1167981],"study_design_scores_gemma":[0.0001554644,0.0001258237,0.002019686,0.00008494967,0.00003043957,0.0001721811,0.0003117208,0.001259223,0.009979955,0.002318064,0.9834939,0.00004850554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01343991,0.007779297,0.0342203,0.01817519,0.003819656,0.0009718535,0.04079247,0.01572526,0.8650761],"genre_scores_gemma":[0.02228622,0.002816901,0.02346913,0.002539702,0.0001795193,0.0003194255,0.009229311,0.001411542,0.9377483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9824019,"threshold_uncertainty_score":0.873913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480423102739829,"score_gpt":0.2079602962360428,"score_spread":0.1931560652086445,"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."}}