{"id":"W6950349799","doi":"10.5683/sp3/kyhnun","title":"Chowade River (West) British Columbia. 1:50,000. Map Sheet 094B10, ed. 1, 1958","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Aerial photography; Geographic information system; Viewshed analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003439583,0.0003495428,0.0005997947,0.0001061459,0.000613428,0.0008920974,0.001088147,0.000395561,0.6749038],"category_scores_gemma":[0.00004514625,0.0005331388,0.0002340149,0.0002257961,0.0002238193,0.0002356786,0.0001453242,0.0007278451,0.0006581234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002862897,"about_ca_system_score_gemma":0.0001249749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982758,"about_ca_topic_score_gemma":0.9923695,"domain_scores_codex":[0.9969414,0.0001763744,0.0004626682,0.0008143402,0.0007857885,0.0008194668],"domain_scores_gemma":[0.9982799,0.0001750971,0.000246668,0.0008740342,0.00004918678,0.0003751208],"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":[0.00001715095,0.00004260057,0.01537437,0.0001462734,0.00004807098,0.0006422184,0.00006118131,0.00001348524,2.007984e-7,1.258875e-7,0.9796019,0.004052469],"study_design_scores_gemma":[0.0002794698,0.0001197582,0.1419328,0.0000593262,0.0001012014,0.0001471774,0.00007268129,0.00001446767,9.328174e-8,0.00004227186,0.8566414,0.0005893431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003905704,0.003167297,1.31889e-7,0.0001896914,0.001439995,0.0004019355,0.9924828,0.00007922475,0.001848381],"genre_scores_gemma":[0.00001182953,0.008661446,0.00001345497,0.002187206,0.001179518,0.00002117158,0.9864437,0.00002077835,0.00146091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6742457,"threshold_uncertainty_score":0.999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232577114239969,"score_gpt":0.2293680936759145,"score_spread":0.2070423225335148,"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."}}