{"id":"W6967774443","doi":"10.5281/zenodo.14004728","title":"Open Data The Need of TNR","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Open data; Key (lock); Context (archaeology); 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":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001962423,0.0003145482,0.0003732479,0.0005350009,0.0005662111,0.002175641,0.01539089,0.0001677062,0.2290667],"category_scores_gemma":[0.0009411983,0.0002514782,0.00006527168,0.001319859,0.0004866022,0.0002702017,0.03191491,0.0006231176,0.5243863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224156,"about_ca_system_score_gemma":0.0000110242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003097678,"about_ca_topic_score_gemma":0.000005431555,"domain_scores_codex":[0.9967327,0.0007256825,0.0004032865,0.0009708845,0.0007281845,0.0004392581],"domain_scores_gemma":[0.9953163,0.00002652992,0.0003662778,0.003826674,0.0003084994,0.0001557083],"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":[0.00004251466,0.00009157331,1.336272e-7,0.0002094135,0.0002579117,0.00001312707,0.000347901,0.000001688355,0.0004326514,0.00487772,0.9856942,0.008031175],"study_design_scores_gemma":[0.0003602554,0.00008615891,0.000006724108,0.0002938039,0.0001076617,0.00005738616,0.0003074142,0.00011537,0.00004011682,0.0001671495,0.9981925,0.0002654757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004734046,0.0008867016,0.00009903072,0.0006930351,0.0002111777,0.0013698,0.008132305,0.003010022,0.9855932],"genre_scores_gemma":[0.001363036,0.0001837554,0.0002605221,0.0001220277,0.0005169969,5.318953e-8,0.0152579,0.1152114,0.8670843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2953196,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167662123828931,"score_gpt":0.3184301352311905,"score_spread":0.2016639228482974,"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."}}