{"id":"W6930348993","doi":"10.5281/zenodo.11871058","title":"canada country profile pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Government (linguistics); World population; Developed country; Free trade agreement","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":["insufficient_payload"],"category_scores_codex":[0.0004271946,0.0009942879,0.0009757822,0.001843348,0.004808107,0.007010325,0.001712892,0.001973552,0.9151797],"category_scores_gemma":[0.002586914,0.0006949486,0.0006951371,0.003394482,0.0007814264,0.003228506,0.001824467,0.001851601,0.8513173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007651636,"about_ca_system_score_gemma":0.0131274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4023919,"about_ca_topic_score_gemma":0.6506664,"domain_scores_codex":[0.9993137,0.0000207854,0.0000161452,0.00007421396,0.0004316645,0.0001433817],"domain_scores_gemma":[0.9962509,0.0001192017,0.00003875623,0.0001839199,0.002762567,0.0006447248],"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":[0.000009878189,0.000008438473,0.00003544144,0.00004031537,6.183113e-7,0.00001632835,0.00001818761,0.00001936697,0.0001036718,0.0007053758,0.9894083,0.009634149],"study_design_scores_gemma":[0.000003545009,0.00000248095,0.0001427755,0.00002352617,8.054219e-7,0.00001481203,0.00004363013,0.00001445821,0.00008074007,0.00008150085,0.9995871,0.000004668955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001413887,0.0002097824,0.0002257363,0.000442674,0.0005317656,0.00009545896,0.005767315,0.00128171,0.9913043],"genre_scores_gemma":[0.0006356933,0.0002404214,0.0001709689,0.0002821885,0.00005983684,0.00002428288,0.001882651,0.0006563461,0.9960476],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5976081,"threshold_uncertainty_score":0.8000994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969814962461294,"score_gpt":0.234366455197644,"score_spread":0.214668305573031,"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."}}