{"id":"W6893682188","doi":"10.5281/zenodo.3877499","title":"MrLogarithm/pe-pc-datasets-interface: Proto-Elamite Sign Counts","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sign (mathematics); Noise (video); Term (time)","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":[0.002083109,0.004419576,0.002403531,0.002357233,0.0009491013,0.004920558,0.005237662,0.002388208,0.2071152],"category_scores_gemma":[0.01237245,0.002222206,0.002452027,0.003281916,0.0007459934,0.006249557,0.003754525,0.003644818,0.3073896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454584,"about_ca_system_score_gemma":0.001339224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810763,"about_ca_topic_score_gemma":0.008076227,"domain_scores_codex":[0.9979565,0.0002949201,0.0001904249,0.0006124643,0.0007040419,0.0002415438],"domain_scores_gemma":[0.9965081,0.0006394301,0.0001210011,0.001859755,0.0006675063,0.0002042213],"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":[0.0002145184,0.00002518635,0.0002326081,0.0003003385,0.0000362956,0.0000176895,0.0000191402,0.0005431834,0.0006264811,0.001534331,0.989993,0.006457187],"study_design_scores_gemma":[0.0006873718,0.00003916752,0.0009153798,0.0001138183,0.00003281579,0.0001117586,0.00004161579,0.009396306,0.006064707,0.01247591,0.9700225,0.00009859728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007312697,0.0002003866,0.0108031,0.000301673,0.0002380509,0.00006901919,0.7647573,0.2157997,0.007099433],"genre_scores_gemma":[0.003219277,0.0001204309,0.01442719,0.0002531817,0.00006245499,0.0002571064,0.9333268,0.04409996,0.004233672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2071152,"threshold_uncertainty_score":0.6928695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266758410282256,"score_gpt":0.264770774324233,"score_spread":0.2321031902214104,"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."}}