{"id":"W6931790267","doi":"10.5683/sp3/maj6fw","title":"Great Gull Lake (West) Newfoundland. 1:50,000. Map Sheet 002D06, 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; Raster graphics; Natural (archaeology); Aerial photography; Viewshed analysis; Topographic map (neuroanatomy); 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":[0.0004895082,0.001818494,0.001103224,0.004704613,0.001203413,0.002973162,0.001799506,0.0006367217,0.1104536],"category_scores_gemma":[0.00237702,0.0009109938,0.0005381372,0.0156878,0.000454424,0.001474002,0.001236456,0.001128526,0.0943767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006496321,"about_ca_system_score_gemma":0.01059595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.864915,"about_ca_topic_score_gemma":0.9242971,"domain_scores_codex":[0.9993209,0.00003463019,0.00005328074,0.0001917696,0.0001827649,0.000216702],"domain_scores_gemma":[0.9981266,0.0001175354,0.000223164,0.0002627246,0.001076974,0.0001930335],"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":[0.00001412494,0.00000384577,0.0008192323,0.0001558579,0.000008702768,0.00001413901,0.00002230836,0.00005231316,0.0000255774,0.0001200945,0.9961086,0.002655206],"study_design_scores_gemma":[0.00003198045,0.00000393282,0.01889583,0.0002073295,0.00001051888,0.00002747951,0.0001820674,0.00006507611,0.00009203084,0.0001110902,0.9803532,0.00001953527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001446072,0.00007145453,0.00002097494,0.00003372223,0.00002038584,0.000004618678,0.9975734,0.0001025994,0.002028218],"genre_scores_gemma":[0.0008643531,0.0001348768,0.0001752215,0.00003615161,0.000007429366,0.00003825271,0.9915237,0.00009544878,0.007124598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.135085,"threshold_uncertainty_score":0.3695041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931467520858046,"score_gpt":0.2675399013717646,"score_spread":0.2482252261631842,"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."}}