{"id":"W6969188523","doi":"10.5683/sp3/fnblku","title":"Demo dataset","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Test (biology); Field (mathematics); Set (abstract data type); Identification (biology); Feature (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00128452,0.00604686,0.001789488,0.004539951,0.001493737,0.002066505,0.003447804,0.002553179,0.07982806],"category_scores_gemma":[0.006354628,0.0007858895,0.002349833,0.004267653,0.0008240847,0.001954041,0.002027146,0.002310101,0.1063872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424442,"about_ca_system_score_gemma":0.002477228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0363913,"about_ca_topic_score_gemma":0.07174055,"domain_scores_codex":[0.9983071,0.0003467003,0.0001259269,0.0004936271,0.0004539788,0.0002726486],"domain_scores_gemma":[0.9975832,0.0005713676,0.0000987101,0.0008241991,0.0006070086,0.0003155463],"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":[0.0001037132,0.00006735851,0.0002242344,0.0002796012,0.00003170411,0.00002917053,0.00001127302,0.000673844,0.0001798616,0.0002189401,0.9933606,0.00481966],"study_design_scores_gemma":[0.00100301,0.0001807174,0.004173047,0.0002742474,0.0001421177,0.0003518127,0.0002454398,0.01064031,0.002998014,0.004125179,0.975743,0.0001231537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001767617,0.0004508075,0.0008468512,0.0003123045,0.0003113119,0.000145609,0.9784868,0.01057281,0.007105927],"genre_scores_gemma":[0.001387173,0.00009175946,0.001260506,0.0001094669,0.00002535277,0.0001146294,0.9944481,0.0004207482,0.002142295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07982806,"threshold_uncertainty_score":0.2670515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302507008714722,"score_gpt":0.3008897091700219,"score_spread":0.2706390082985498,"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."}}