{"id":"W6942148820","doi":"10.1371/journal.pone.0298052.t001","title":"pone.0298052.t001 - Personal Protective Equipment Portraits Canada (PPC)–Humanization and surveying mask-wearing nationally","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Personal protective equipment; Government (linguistics); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001116812,0.001828396,0.001678971,0.002840209,0.001284691,0.003203348,0.003659636,0.002438745,0.1839646],"category_scores_gemma":[0.01086088,0.0008832621,0.001372725,0.007502464,0.00055246,0.001567432,0.002384192,0.001687118,0.1001945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003455464,"about_ca_system_score_gemma":0.006865904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3972103,"about_ca_topic_score_gemma":0.5474325,"domain_scores_codex":[0.9989206,0.0001364201,0.00009095759,0.0003313784,0.0002867707,0.0002339985],"domain_scores_gemma":[0.9948095,0.001516711,0.0004162004,0.0007382569,0.0019767,0.0005425324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002809256,0.000008200489,0.0009737153,0.0004927212,0.00002359173,0.00001051759,0.00001722941,0.0001409022,0.00001892509,0.0002471747,0.9970084,0.001030527],"study_design_scores_gemma":[0.0003756536,0.00001411372,0.0103854,0.0006841571,0.00005746781,0.00004046996,0.0001553959,0.0003469622,0.0001299149,0.0009985848,0.9867699,0.00004200424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003330477,0.00002544146,0.00001895422,0.00003848513,0.00001052889,0.000003720722,0.9994164,0.00005663825,0.0003965722],"genre_scores_gemma":[0.0004577869,0.00005469983,0.0002081043,0.00007087782,0.000007926385,0.00007372005,0.9974723,0.00007260891,0.001581927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6027898,"threshold_uncertainty_score":0.7897965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390561186453827,"score_gpt":0.2152977542454699,"score_spread":0.1913921423809316,"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."}}