{"id":"W6912995235","doi":"10.5683/sp3/moapnf","title":"Moberly Lake (West) British Columbia. 1:50,000. Map Sheet 093P13, ed. 1, 1958","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; Viewshed analysis; Geographic information system","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":[0.000333085,0.001843224,0.001257995,0.005061484,0.001775572,0.003875437,0.001615445,0.0006147182,0.1454516],"category_scores_gemma":[0.002384358,0.0008644093,0.0004855738,0.0218737,0.0004157349,0.001197255,0.001063447,0.001380758,0.1122351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007461166,"about_ca_system_score_gemma":0.01445691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9281467,"about_ca_topic_score_gemma":0.9602366,"domain_scores_codex":[0.9995122,0.00002034893,0.00003537006,0.0001256872,0.0001741616,0.0001321945],"domain_scores_gemma":[0.9983112,0.00008152205,0.0001071409,0.0001740021,0.001147184,0.0001789945],"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":[0.00001509803,0.000002850637,0.0005050597,0.0001555196,0.000006512597,0.0000112469,0.00002122676,0.00004835066,0.00002528357,0.0001451405,0.9956534,0.003410314],"study_design_scores_gemma":[0.00002678487,0.00000214044,0.009586473,0.0001983734,0.000008882993,0.00001927859,0.0001368902,0.00009101513,0.0001010055,0.0001874972,0.9896235,0.00001823319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001235439,0.0001018486,0.00002758531,0.00003388947,0.00001900962,0.000005861126,0.996318,0.0001669091,0.003203326],"genre_scores_gemma":[0.001055217,0.0002342891,0.0002069666,0.00003213937,0.000006982918,0.00004261574,0.9869434,0.0001603872,0.011318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1454516,"threshold_uncertainty_score":0.4865841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151010516199682,"score_gpt":0.2421012327459152,"score_spread":0.2305911275839184,"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."}}