{"id":"W6894265786","doi":"10.5683/sp3/3fewzg","title":"Flatbush (West) Alberta. 1:50,000. Map Sheet 083J09, ed. 1, 1954","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; Raster graphics; Natural (archaeology); Digital mapping; Aerial photography; Geographic information system; Topographic map (neuroanatomy); 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":[0.0004900472,0.002011148,0.001227302,0.005537659,0.001508463,0.003745017,0.002067646,0.0006425869,0.1089791],"category_scores_gemma":[0.001822381,0.0008761929,0.000625872,0.02061499,0.0005016678,0.000949958,0.0009638664,0.00121077,0.09147792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008175303,"about_ca_system_score_gemma":0.01558873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9219384,"about_ca_topic_score_gemma":0.9572387,"domain_scores_codex":[0.9993962,0.00002449985,0.00003267056,0.0001432246,0.0002594294,0.0001439545],"domain_scores_gemma":[0.9986705,0.00007386591,0.00009241264,0.0001495825,0.0008433351,0.0001703453],"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":[0.00002571547,0.000005066323,0.0009601016,0.0001957194,0.00001203743,0.00001519347,0.00003435502,0.0001174016,0.00004532247,0.0003076082,0.9937224,0.004559135],"study_design_scores_gemma":[0.0000404053,0.000003561603,0.01372629,0.0001575472,0.00001294184,0.00002751486,0.0001735643,0.0001258751,0.0001205547,0.0003528653,0.9852383,0.00002052851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001425672,0.0001255154,0.00004187031,0.0000306179,0.00002526337,0.000006280058,0.9961669,0.0001966021,0.003264385],"genre_scores_gemma":[0.0009241817,0.0001838195,0.0003310762,0.00003005419,0.000007782861,0.00002330826,0.9909295,0.0001279799,0.007442273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1089791,"threshold_uncertainty_score":0.3645713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453388145221524,"score_gpt":0.261850047911649,"score_spread":0.2473161664594338,"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."}}