{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00113103,0.002496309,0.001795276,0.004560729,0.001030828,0.005267684,0.002681266,0.002584052,0.4657444],"category_scores_gemma":[0.009569517,0.0009890143,0.001401538,0.008529373,0.0005542501,0.00270986,0.003307359,0.001858249,0.5284336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210993,"about_ca_system_score_gemma":0.001930867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009598875,"about_ca_topic_score_gemma":0.01702531,"domain_scores_codex":[0.9988438,0.0002025014,0.0001576122,0.0003903678,0.0001902873,0.0002153368],"domain_scores_gemma":[0.9963951,0.001225405,0.0003300562,0.0008841964,0.000803224,0.0003620743],"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":[0.00004011227,0.00001013837,0.0001547262,0.0007390942,0.00001072326,0.000006623858,0.00001469489,0.0000515323,0.0000481575,0.0002066841,0.9971723,0.001545119],"study_design_scores_gemma":[0.0002984911,0.00002484097,0.001330359,0.000417243,0.00001887499,0.00002498404,0.00009549889,0.0001106472,0.0001989412,0.0009999499,0.9964582,0.00002192956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003498682,0.0000352623,0.00002059912,0.00005678451,0.00002081292,0.00001020025,0.9985916,0.0002736536,0.0009560558],"genre_scores_gemma":[0.0002929715,0.00007814141,0.0001762078,0.0001025893,0.00001854072,0.0001323058,0.9966619,0.0001976066,0.002339762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5342556,"threshold_uncertainty_score":0,"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."}}