{"id":"W7005620276","doi":"","title":"Regional Characteristics of Canada","year":2006,"lang":"en","type":"other","venue":"Terrestrial Environment Research Center (University of Tsukuba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Identification (biology)","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":[0.0003669143,0.0005796344,0.000399558,0.006824754,0.002903337,0.002553929,0.001097603,0.0003738508,0.03589498],"category_scores_gemma":[0.001780282,0.0003349961,0.0006261963,0.01681775,0.0005203878,0.0004454129,0.0006568594,0.0004497776,0.005376057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03293889,"about_ca_system_score_gemma":0.06589121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969543,"about_ca_topic_score_gemma":0.9984897,"domain_scores_codex":[0.9988915,0.00003364219,0.00005439233,0.0001510477,0.0004969681,0.000372466],"domain_scores_gemma":[0.9964682,0.0001021276,0.000174569,0.00007547264,0.002707129,0.0004724037],"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":[0.0003732977,0.00008626939,0.3865604,0.0006530616,0.0002346851,0.0005006906,0.002964798,0.002054048,0.001210451,0.01572938,0.5004694,0.08916349],"study_design_scores_gemma":[0.0000181229,0.00001790408,0.7054268,0.0001538971,0.00006083931,0.0001513426,0.002949979,0.0006929112,0.0004999179,0.0003569231,0.2896225,0.00004876679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1940698,0.004635029,0.000791384,0.002515939,0.000163043,0.0002734882,0.4901439,0.0007425939,0.3066647],"genre_scores_gemma":[0.5527308,0.00401043,0.001952446,0.0003603566,0.00004930329,0.0001602748,0.1111824,0.0003616742,0.3291923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03589498,"threshold_uncertainty_score":0.2389895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035700938326248,"score_gpt":0.2410364821787067,"score_spread":0.2006794727954442,"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."}}