{"id":"W6949027487","doi":"10.5281/zenodo.11871057","title":"canada country profile pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Government (linguistics); World population; Download; Free trade agreement; Developed country","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":[0.00052972,0.0009670772,0.001003757,0.003450207,0.004967286,0.006814612,0.001989197,0.002067079,0.8147544],"category_scores_gemma":[0.003552845,0.0006828507,0.0006166588,0.007652925,0.0006948625,0.002500087,0.001465877,0.001689433,0.6561772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01032963,"about_ca_system_score_gemma":0.03271171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7678716,"about_ca_topic_score_gemma":0.8364975,"domain_scores_codex":[0.9990948,0.0000255723,0.00002502517,0.00007931003,0.0005515665,0.0002237739],"domain_scores_gemma":[0.9943358,0.0001648799,0.00007444886,0.0002328619,0.004141321,0.001050676],"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":[0.000005485951,0.000005226072,0.00005378999,0.00002479812,6.642557e-7,0.000007843766,0.000005728643,0.00001654964,0.00002312614,0.0004833718,0.9941031,0.005270309],"study_design_scores_gemma":[0.00000445782,0.000001509452,0.0003998885,0.00002731579,8.80887e-7,0.000009377392,0.00002869805,0.00002302266,0.00003137828,0.00009492333,0.9993724,0.000006074522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002602513,0.0002909327,0.0002365973,0.001149914,0.0006321318,0.0002097407,0.06820922,0.001422644,0.9275885],"genre_scores_gemma":[0.001863929,0.0005345143,0.0004927721,0.001038277,0.0001277096,0.00009615121,0.02980281,0.001081212,0.9649626],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8147544,"threshold_uncertainty_score":0.4669909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251000408586748,"score_gpt":0.1895381011422788,"score_spread":0.1770280970564113,"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."}}