{"id":"W4393758208","doi":"10.5281/zenodo.5061257","title":"GVI: Sample data for computing VGVI. Vancouver, BC and Manchester.","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Computer science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001305661,0.0003451602,0.0004096665,0.0003184596,0.002499021,0.002718169,0.007101557,0.0001791541,0.0008172989],"category_scores_gemma":[0.002569899,0.0003889212,0.00005983488,0.0007129693,0.0001996183,0.0007841606,0.02381535,0.0006988072,0.0006497751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207871,"about_ca_system_score_gemma":0.00002612421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007411916,"about_ca_topic_score_gemma":0.000007859862,"domain_scores_codex":[0.9959878,0.0004051015,0.0004487784,0.001621487,0.0007437216,0.0007930563],"domain_scores_gemma":[0.994998,0.0003412886,0.0002450738,0.003305751,0.0007903088,0.0003195289],"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":[0.0000139499,0.00006880694,7.626586e-8,0.0003617128,0.0000487297,0.00003473579,0.00008805548,0.00005602812,0.00002642541,0.00008879027,0.8817263,0.1174864],"study_design_scores_gemma":[0.0005620851,0.0001768292,0.000007885815,0.0001278004,0.00001759853,0.0001189349,0.00008487963,0.02333335,0.00002259144,0.0001795539,0.9749832,0.0003852883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000558241,0.0001866504,0.3957263,0.0002151866,0.0003648594,0.0005360798,0.6023547,0.0003770542,0.0002335431],"genre_scores_gemma":[0.00002497029,0.000375254,0.04813209,0.0001597139,0.0003900233,1.355638e-7,0.9497879,0.0008715568,0.0002584041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3475942,"threshold_uncertainty_score":0.9998563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0718370294873503,"score_gpt":0.3051840397421036,"score_spread":0.2333470102547533,"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."}}