{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005422457,0.0005509708,0.0005677192,0.0004387101,0.000185763,0.000130742,0.001490485,0.0004399791,0.001143751],"category_scores_gemma":[0.0006001671,0.0005473653,0.0001483099,0.0007686436,0.00011508,0.0001106559,0.000716325,0.0008108159,0.8639023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784781,"about_ca_system_score_gemma":0.000226846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006864037,"about_ca_topic_score_gemma":0.003559525,"domain_scores_codex":[0.9970754,0.0001402438,0.0004235232,0.000845175,0.0007900267,0.0007256347],"domain_scores_gemma":[0.996336,0.0002066721,0.000288426,0.0028851,0.00003856408,0.0002451814],"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":[0.00002228751,0.00006043884,0.000003863697,0.0001268937,0.0001149962,0.0004876306,0.000005702708,0.000001436915,0.00001699106,0.00000388107,0.9989864,0.0001695419],"study_design_scores_gemma":[0.0003009785,0.00002867618,0.0001077502,0.00008137566,0.0001887939,0.00001536935,0.00001811066,0.00000232442,0.00001890882,0.0000790627,0.998557,0.0006017077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002068747,0.0002935911,1.46314e-7,0.00004398332,0.001649563,0.0003416185,0.9968454,0.0005994759,0.0002241144],"genre_scores_gemma":[2.071382e-7,0.0002343282,0.00002496534,0.0002292125,0.0007391042,0.000114813,0.9976274,0.0002415952,0.000788382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8627586,"threshold_uncertainty_score":0.9997693,"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."}}