{"id":"W4287070410","doi":"10.5281/zenodo.5119898","title":"Scientific Data Material Dataset","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005438811,0.001601155,0.002623383,0.008423813,0.001727342,0.005645989,0.003849188,0.004213605,0.4097802],"category_scores_gemma":[0.05499677,0.0008420408,0.002204429,0.01380818,0.0008090695,0.003137544,0.003720333,0.003457612,0.2133051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002327546,"about_ca_system_score_gemma":0.01048091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009155121,"about_ca_topic_score_gemma":0.01790453,"domain_scores_codex":[0.9943352,0.001232348,0.001353852,0.001280493,0.001301605,0.0004964097],"domain_scores_gemma":[0.9698733,0.01579499,0.002406803,0.003246451,0.007194753,0.001483667],"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":[0.0001365906,0.00002066453,0.000846996,0.004248538,0.00007100814,0.00005495269,0.00005498929,0.0002633856,0.00009475589,0.00125594,0.9848217,0.008130499],"study_design_scores_gemma":[0.0002885411,0.00002471087,0.001572492,0.002142728,0.0001019016,0.00007736748,0.000115022,0.0001719141,0.0001603952,0.004125909,0.9911774,0.00004169597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009843588,0.0004270778,0.0003702577,0.0005113058,0.0001382722,0.0001372382,0.9939128,0.0002980016,0.00410662],"genre_scores_gemma":[0.001725132,0.001008395,0.002869247,0.001238361,0.0001512678,0.002405392,0.9836505,0.000542498,0.006409259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5902197,"threshold_uncertainty_score":0.8418769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277288390963838,"score_gpt":0.2772151429174648,"score_spread":0.149486303821081,"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."}}