{"id":"W6931743428","doi":"10.5683/sp3/ercr4t","title":"Big Mountain Creek (East) Alberta. 1:50,000. Map Sheet 083L15, ed. 1, 1961","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Natural (archaeology); Topographic map (neuroanatomy); Raster graphics; Aerial photography; Geographic information system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001270565,0.0004808657,0.0005242041,0.0001003036,0.0004913754,0.000265905,0.0009802285,0.0001202909,0.04261409],"category_scores_gemma":[0.000004403665,0.0005456947,0.0003272707,0.0002216007,0.0000916361,0.00007849902,0.0004899439,0.0006773517,0.0003017245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008456161,"about_ca_system_score_gemma":0.0001687729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4388771,"about_ca_topic_score_gemma":0.00957333,"domain_scores_codex":[0.9977889,0.00008188072,0.00043448,0.0007200482,0.0004297095,0.000544949],"domain_scores_gemma":[0.9977518,0.00009683388,0.0003334274,0.001529124,0.00006354899,0.0002252717],"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":[0.000008912582,0.0003175251,0.00005077656,0.00003157587,0.0001772405,0.000002979599,0.00003475646,0.00002321707,0.000007466017,0.006483976,0.9893723,0.00348925],"study_design_scores_gemma":[0.0002969986,0.00004135087,0.00009965664,0.00002022623,0.0001755973,0.000001023416,0.0001561954,0.00002071771,0.000004037393,0.003497937,0.9951046,0.0005817127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002720269,0.00005526074,0.0000515383,0.0004522788,0.0002275236,0.0004874481,0.989931,0.00003740548,0.008730302],"genre_scores_gemma":[0.0001699691,0.00002691029,0.00005689376,0.0003618596,0.001949018,0.0006005082,0.994845,0.00009666534,0.001893117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4293037,"threshold_uncertainty_score":0.9996995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075492944334854,"score_gpt":0.2404882081510233,"score_spread":0.2297332787076747,"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."}}