{"id":"W6936901545","doi":"10.57924/ruymla/4h7euz","title":"Datasets.zip","year":2023,"lang":"en","type":"dataset","venue":"Papyrus","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Product (mathematics); Raw data; Process (computing); Relation (database)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001073908,0.005192074,0.002246206,0.003633854,0.00116836,0.002787319,0.003807749,0.003570125,0.1302944],"category_scores_gemma":[0.004619009,0.001154563,0.001741383,0.004381862,0.0006593032,0.002191496,0.002828715,0.002264042,0.217395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149669,"about_ca_system_score_gemma":0.001674305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220051,"about_ca_topic_score_gemma":0.02594895,"domain_scores_codex":[0.9988882,0.0001501465,0.0000909739,0.0003727876,0.0002875394,0.0002103302],"domain_scores_gemma":[0.998206,0.0005225976,0.0001150531,0.0006014844,0.0003593446,0.000195472],"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":[0.00009174609,0.00004602245,0.0003191239,0.0005203985,0.00003076734,0.00002035279,0.00002185464,0.0002895929,0.0003337324,0.0003188652,0.9945734,0.003434188],"study_design_scores_gemma":[0.0004051152,0.00005279928,0.002878525,0.0002043714,0.00004335412,0.00009819808,0.00007596697,0.00174958,0.001685561,0.002343955,0.9903966,0.0000660076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002617276,0.0001106189,0.0002686991,0.00007286631,0.00004420577,0.00002638791,0.9926268,0.005309491,0.001279085],"genre_scores_gemma":[0.0004120781,0.00004263804,0.0006746617,0.00004622515,0.000008307226,0.00007505973,0.9974422,0.0004232978,0.0008754559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8697056,"threshold_uncertainty_score":0.4358781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704390931317917,"score_gpt":0.311168449246401,"score_spread":0.2741245399332218,"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."}}