{"id":"W6911164678","doi":"10.5281/zenodo.10140729","title":"Online appendix","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Waterloo","funders":"","keywords":"","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":[0.0025398,0.0007256513,0.001286612,0.003276382,0.001427178,0.002068698,0.001511144,0.001349551,0.9119946],"category_scores_gemma":[0.05791796,0.0005262604,0.0005110767,0.004148552,0.0004535431,0.002593871,0.001712121,0.001639705,0.5806759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002190653,"about_ca_system_score_gemma":0.003300594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006307143,"about_ca_topic_score_gemma":0.006995976,"domain_scores_codex":[0.9984931,0.0003445765,0.0002611015,0.0002103038,0.0005910278,0.00009992788],"domain_scores_gemma":[0.9482852,0.02859173,0.001186728,0.002658431,0.01785126,0.001426609],"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":[0.00003974451,0.00005961296,0.0001526138,0.0004112869,0.000002454118,0.00002457248,0.0000445855,0.00004930362,0.00003165124,0.0008649123,0.9793067,0.01901257],"study_design_scores_gemma":[0.000147906,0.00006751336,0.002839283,0.0009369227,0.00001204527,0.0002646178,0.0003978806,0.0001523005,0.0001522216,0.007994635,0.9870072,0.00002746657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002107671,0.001225843,0.008936491,0.006209511,0.004402707,0.004050728,0.6832398,0.003386321,0.2864409],"genre_scores_gemma":[0.01441817,0.003476471,0.02061238,0.01212111,0.001733144,0.01406133,0.4347104,0.003006408,0.4958606],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9119946,"threshold_uncertainty_score":0.125529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07100691545783963,"score_gpt":0.275330789041934,"score_spread":0.2043238735840943,"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."}}