{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002353617,0.0001675189,0.0001871171,0.00002649223,0.0009890959,0.0009727274,0.0008691571,0.0001532829,0.2828549],"category_scores_gemma":[0.0001433105,0.0000757871,0.000076062,0.0002781016,0.00005963799,0.00009493947,0.000863442,0.000235433,0.008180358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004754891,"about_ca_system_score_gemma":0.000001016746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090849,"about_ca_topic_score_gemma":0.00002297312,"domain_scores_codex":[0.9987781,0.0001972708,0.0001613702,0.0004355648,0.0001640589,0.0002636359],"domain_scores_gemma":[0.999396,0.00002881716,0.0001843487,0.0001224883,0.0001312683,0.0001370445],"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":[0.000005865125,0.00004136197,4.228636e-7,0.00001688245,0.00003320713,0.000009565372,0.00003153694,7.040861e-7,0.002019127,0.001041148,0.8681917,0.1286084],"study_design_scores_gemma":[0.00007306553,0.00008691195,0.0002557757,0.00004862204,0.00001062739,0.0000580526,0.0001918157,0.000007849496,0.00003761006,0.00006550631,0.9989551,0.0002091066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007675309,0.0005883535,0.000006141005,0.001418798,0.000153505,0.0002592748,0.0003841728,0.0005147076,0.9959075],"genre_scores_gemma":[0.03096545,0.001661058,0.0001391921,0.0006812301,0.002441306,1.000358e-7,0.0264651,0.001119477,0.9365271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2746745,"threshold_uncertainty_score":0.9925919,"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."}}