{"id":"W6912835394","doi":"10.5281/zenodo.7040159","title":"CLS INFRA Poster Presentation DH2022 Tokyo","year":2022,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Presentation (obstetrics); Quarter (Canadian coin); Meaning (existential); CLs upper limits","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003033513,0.0009705542,0.0006368752,0.001668248,0.003342986,0.007533838,0.001455627,0.002225407,0.6530237],"category_scores_gemma":[0.003050272,0.0004252015,0.0007312556,0.001198346,0.0008367618,0.002867516,0.005372782,0.003228666,0.3387878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300674,"about_ca_system_score_gemma":0.002361111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004094257,"about_ca_topic_score_gemma":0.01103213,"domain_scores_codex":[0.9987544,0.0001941425,0.00004431049,0.0002804938,0.0005388735,0.0001877707],"domain_scores_gemma":[0.9973161,0.0002819557,0.00008322537,0.0002823397,0.001139405,0.0008969643],"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":[0.00009528163,0.00002404183,0.00007346521,0.0001067124,0.000003613475,0.00007566176,0.0001404317,0.00006103342,0.0006225682,0.00340733,0.9740232,0.02136676],"study_design_scores_gemma":[0.00001233969,0.00002190725,0.00035009,0.00007459037,0.000002351729,0.00003305949,0.0001958603,0.00006106553,0.000196769,0.0008152064,0.9982315,0.000005257427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003355337,0.004450758,0.00558485,0.01905951,0.0623128,0.000762056,0.0196499,0.003465381,0.8813595],"genre_scores_gemma":[0.007856773,0.0008749876,0.001574229,0.000995934,0.004750081,0.0002019356,0.009145029,0.001363675,0.9732375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6530237,"threshold_uncertainty_score":0.4949196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541491331268015,"score_gpt":0.2415136107367793,"score_spread":0.1960986974240991,"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."}}