{"id":"W4387344876","doi":"10.36939/pawaatamihk/vol1no1/art9","title":"Still here, now","year":2023,"lang":"en","type":"article","venue":"Pawaatamihk A Journal of Métis Thinkers","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002528891,0.0001587099,0.0004720968,0.0006691797,0.00008286346,0.00003146848,0.0003459955,0.0000926033,0.0003162122],"category_scores_gemma":[0.001126284,0.0001086615,0.0002102026,0.001192556,0.0002638235,0.0002240268,0.00008319363,0.0006197703,0.0004241285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113301,"about_ca_system_score_gemma":0.000508715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003582778,"about_ca_topic_score_gemma":0.00001300693,"domain_scores_codex":[0.9971043,0.00007635743,0.000531559,0.0001998349,0.001489716,0.0005982634],"domain_scores_gemma":[0.9980918,0.0002346284,0.0002360634,0.0003158484,0.0004428924,0.0006788293],"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":[0.001649117,0.000572206,0.1911308,0.0005691553,0.0007963141,0.01397441,0.01103585,0.000129768,0.04413672,0.0009785139,0.6179617,0.1170654],"study_design_scores_gemma":[0.01478151,0.004833496,0.4709652,0.002069685,0.0005042541,0.007478364,0.0140523,0.002083916,0.006472886,0.001944479,0.4742223,0.0005916276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781148,0.001575407,0.0003343149,0.01251303,0.001395561,0.0002654383,0.000008686412,0.00009424432,0.005698466],"genre_scores_gemma":[0.9870864,0.003020434,0.001038414,0.00145812,0.0008540067,0.000003277764,0.000008909067,0.00003182973,0.006498676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2798344,"threshold_uncertainty_score":0.5451456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03999519424484331,"score_gpt":0.3504461675352059,"score_spread":0.3104509732903625,"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."}}