{"id":"W6950577566","doi":"10.5683/sp3/ebpafp","title":"Duffey Lake British Columbia. 1:50,000. Map Sheet 092J08, ed. 1, 1970","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","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; Government (linguistics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003895864,0.001951491,0.001360022,0.005702213,0.001741997,0.003608846,0.00183433,0.000686775,0.131033],"category_scores_gemma":[0.00259738,0.0009810508,0.0005320282,0.02642927,0.0004274344,0.0011838,0.001106169,0.001385283,0.1045968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00826671,"about_ca_system_score_gemma":0.01635619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9283639,"about_ca_topic_score_gemma":0.9590761,"domain_scores_codex":[0.9994026,0.00002822855,0.00004557194,0.0001439216,0.0002216248,0.0001579576],"domain_scores_gemma":[0.9981856,0.00009929255,0.0001158618,0.0001974894,0.001211297,0.0001903231],"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":[0.0000123265,0.000002930237,0.000477019,0.0001607441,0.000005762184,0.000009993354,0.00001859164,0.00005124956,0.00002091564,0.0001531353,0.996352,0.002735421],"study_design_scores_gemma":[0.00002642231,0.000002410748,0.01004477,0.0002145714,0.000008800875,0.00001999864,0.0001492951,0.00009847488,0.0000931244,0.000193995,0.9891304,0.000017735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008431749,0.00006822211,0.00001904639,0.00002769024,0.00001476454,0.000004290178,0.9975332,0.00008650532,0.002161953],"genre_scores_gemma":[0.0007037631,0.000193462,0.0001606578,0.00002540958,0.000005589296,0.00004045152,0.9908117,0.00008527663,0.007973666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.131033,"threshold_uncertainty_score":0.4383489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115481751470564,"score_gpt":0.2398372622508126,"score_spread":0.2282890871037562,"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."}}