{"id":"W6950679452","doi":"10.5683/sp3/931xmp","title":"Pasateko Lake Ontario. 1:50,000. Map Sheet 053F10, ed. 1, 1977","year":2021,"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; Topographic map (neuroanatomy); Viewshed analysis; Digital mapping","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":[0.0004358372,0.001952912,0.001315569,0.005074439,0.001637896,0.002848113,0.001763507,0.0006188597,0.1495543],"category_scores_gemma":[0.002781354,0.001074434,0.0006698166,0.02212129,0.0005238111,0.001220102,0.001171787,0.0009582329,0.120073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009313721,"about_ca_system_score_gemma":0.01881877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8968894,"about_ca_topic_score_gemma":0.9422474,"domain_scores_codex":[0.9993259,0.00003061422,0.00005189821,0.0001490923,0.0002762317,0.0001662089],"domain_scores_gemma":[0.9980101,0.0001210001,0.0001647221,0.0002272295,0.001279276,0.0001975653],"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":[0.0000134712,0.000003006097,0.0005940975,0.0002570965,0.000007804008,0.00001074428,0.00003465659,0.00005750966,0.00003378933,0.000195542,0.9960813,0.002710951],"study_design_scores_gemma":[0.00003190424,0.000002748667,0.009516304,0.0001607257,0.000009596205,0.00002134529,0.0001150204,0.00007272096,0.00007848536,0.000184706,0.9897921,0.00001427559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006572096,0.00004996817,0.00002372613,0.00002550122,0.000009350622,0.000005232534,0.997929,0.00008655112,0.001805026],"genre_scores_gemma":[0.0005273668,0.0001480975,0.0001844743,0.00001865787,0.000004530327,0.00004668877,0.9943018,0.00008967394,0.004678839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1495543,"threshold_uncertainty_score":0.500309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771865741039815,"score_gpt":0.2533737692807743,"score_spread":0.2356551118703761,"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."}}