{"id":"W6969111626","doi":"10.5281/zenodo.5075530","title":"OpenAIRE-Nexus","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Council on Social Development","funders":"","keywords":"Data sharing; Data management; Plan (archaeology); Data governance; Data access; Set (abstract data type); Context (archaeology)","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":[0.004309101,0.001453434,0.0009923248,0.003151415,0.001935219,0.009659851,0.003175091,0.002885428,0.2221162],"category_scores_gemma":[0.009297553,0.0007001511,0.001191389,0.003728803,0.001385729,0.01091404,0.009849503,0.003441213,0.1608014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230305,"about_ca_system_score_gemma":0.004449171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007220524,"about_ca_topic_score_gemma":0.005278516,"domain_scores_codex":[0.996748,0.0006158934,0.0001874929,0.0005151256,0.00137926,0.0005542568],"domain_scores_gemma":[0.9956256,0.0007541984,0.0001869572,0.00140529,0.001006483,0.001021483],"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":[0.0003881311,0.0001332615,0.0009861164,0.0005415549,0.00003367127,0.0002266868,0.0004922888,0.001273452,0.001799011,0.1632104,0.7276166,0.1032987],"study_design_scores_gemma":[0.0000212578,0.00001175869,0.0002416824,0.00008390402,0.000003484826,0.00006582644,0.00005242769,0.0006000183,0.000731946,0.01088988,0.9872801,0.00001792416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003314972,0.001710716,0.06260663,0.002653169,0.001284017,0.0006117458,0.04608041,0.09617511,0.7855632],"genre_scores_gemma":[0.03590782,0.002901584,0.09771155,0.003052943,0.0008283984,0.001581847,0.2180352,0.1195405,0.5204402],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2221162,"threshold_uncertainty_score":0.7430528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653662346161185,"score_gpt":0.2297138193977269,"score_spread":0.183177195936115,"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."}}