{"id":"W6888012166","doi":"10.18419/darus-2727/6","title":"IR.zip","year":2023,"lang":"de","type":"dataset","venue":"Universitätsbibliothek Stuttgart","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","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":[0.001122514,0.004168152,0.002602825,0.004280677,0.001405844,0.004151017,0.003614723,0.00337075,0.2439317],"category_scores_gemma":[0.006412799,0.001195134,0.001365651,0.007122174,0.0006560717,0.003173732,0.003183997,0.002118045,0.5133647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177002,"about_ca_system_score_gemma":0.001470082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224869,"about_ca_topic_score_gemma":0.02156827,"domain_scores_codex":[0.9985884,0.0002568818,0.0001136972,0.0005188392,0.0002651804,0.0002569219],"domain_scores_gemma":[0.9978163,0.000531657,0.0001476309,0.0007575252,0.0004709012,0.0002760016],"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":[0.00005058955,0.0000176599,0.0001221109,0.0003344928,0.000008922776,0.000006890819,0.000009585293,0.00009322624,0.00006070335,0.0002558052,0.997147,0.001893044],"study_design_scores_gemma":[0.0002341206,0.00002933391,0.0009565233,0.000183029,0.0000170843,0.00004030967,0.0000565358,0.0004728699,0.0003257369,0.001471849,0.9961863,0.00002631582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001014276,0.0001419488,0.00008613961,0.0001158499,0.00005182139,0.00001895932,0.995184,0.001576707,0.002723198],"genre_scores_gemma":[0.0003738013,0.0001022692,0.0002771383,0.0001178802,0.00001871875,0.00006451974,0.9971216,0.0002324828,0.001691417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7560683,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318842498790298,"score_gpt":0.2623359845069995,"score_spread":0.2391475595190965,"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."}}