{"id":"W6931558491","doi":"10.5281/zenodo.5845537","title":"D4.4 - Predictive Algorithms v2","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian AIDS Treatment Information Exchange","funders":"European Commission","keywords":"Deliverable; Quality (philosophy); Time series; Production (economics); Technology forecasting; Data quality","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":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003397783,0.00013016,0.0002195484,0.0003144247,0.001590227,0.001235031,0.002206342,0.00006314742,0.01884033],"category_scores_gemma":[0.1111718,0.0001098014,0.00007883658,0.002939086,0.0001654505,0.000331757,0.001690063,0.0003088473,0.01156816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005363804,"about_ca_system_score_gemma":0.000003924583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006064295,"about_ca_topic_score_gemma":2.248438e-8,"domain_scores_codex":[0.9964501,0.000935137,0.0004433752,0.0006756393,0.00113014,0.0003655801],"domain_scores_gemma":[0.9965055,0.001505398,0.0002097417,0.000524745,0.0009067279,0.0003478845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006705231,0.00004740463,0.00006477391,0.000008206287,0.00002524328,0.00001727813,0.001555794,0.000150876,0.0008812927,0.001280009,0.3617402,0.6341619],"study_design_scores_gemma":[0.0003414556,0.0003745663,0.004015074,0.000006849125,0.000006281234,0.00003947043,0.001082599,0.006921161,0.0001724665,0.002125008,0.9847807,0.0001343257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02415434,0.0002699003,0.3627703,0.009149255,0.0005373333,0.0006932396,0.0003935569,0.002261995,0.5997701],"genre_scores_gemma":[0.9821397,0.00008336492,0.01204288,0.00164021,0.0008326357,5.004485e-8,0.0002696103,0.001273711,0.001717803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9579854,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4600617377092396,"score_gpt":0.402298141441583,"score_spread":0.05776359626765659,"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."}}