{"id":"W6967294982","doi":"10.48331/scielodata.gl8nff/rtcoeb","title":"README.pdf","year":2022,"lang":"de","type":"dataset","venue":"SciELO - Scientific Electronic Library Online Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.006858567,0.003706889,0.002931258,0.006059835,0.00695893,0.007709585,0.02137999,0.001358224,0.9397568],"category_scores_gemma":[0.000901039,0.004092829,0.001529839,0.019786,0.005594549,0.01199835,0.01748068,0.01092154,0.650245],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032383,"about_ca_system_score_gemma":0.02973071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346509,"about_ca_topic_score_gemma":0.0008520181,"domain_scores_codex":[0.9653412,0.003028936,0.003797799,0.01059011,0.00776781,0.009474225],"domain_scores_gemma":[0.976524,0.0007289553,0.003023999,0.01697779,0.0002984437,0.002446808],"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":[0.0007400136,0.004777357,0.00003354031,0.0004697477,0.00101266,0.001062014,0.0001659593,0.0001431307,0.0006997825,0.001513698,0.98896,0.0004220464],"study_design_scores_gemma":[0.002997305,0.001068523,0.00001312191,0.0002872954,0.001560867,0.0003315309,0.0008427054,0.001281104,0.0002825115,0.001465256,0.9856805,0.004189258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001624561,0.002794524,0.000003068295,0.001056294,0.01789481,0.003294915,0.9711998,0.00132036,0.0008116493],"genre_scores_gemma":[0.00002611806,0.002929926,0.0005759357,0.001536147,0.002358592,0.0002061288,0.8597489,0.0008480469,0.1317702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2895118,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423253019339689,"score_gpt":0.2542526749402065,"score_spread":0.2400201447468097,"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."}}