{"id":"W6913087205","doi":"10.5683/sp3/plvxnm","title":"McKee Bay Saskatchewan. 1:50,000. Map Sheet 073I05, ed. 1, 1973","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Georeference; General partnership; Natural (archaeology); Raster graphics; Aerial photography; Topographic map (neuroanatomy)","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":[0.0005286529,0.002144103,0.001265651,0.004585855,0.001076565,0.003558684,0.001984376,0.0007811918,0.2288308],"category_scores_gemma":[0.002761043,0.001151376,0.0007112768,0.02705891,0.0004205564,0.001627152,0.00127558,0.001465721,0.2408666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006274031,"about_ca_system_score_gemma":0.01415081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7617136,"about_ca_topic_score_gemma":0.8376127,"domain_scores_codex":[0.9993694,0.00004378071,0.00006266634,0.0001709459,0.0001962478,0.0001569191],"domain_scores_gemma":[0.9978516,0.000151901,0.000136385,0.0003311192,0.001336037,0.0001928938],"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":[0.00001725556,0.000004067191,0.000502758,0.0001673156,0.00001049133,0.00001088748,0.00001878107,0.00008116358,0.00004624411,0.0001894434,0.9957468,0.00320496],"study_design_scores_gemma":[0.00004412141,0.000002778893,0.008170377,0.0002096251,0.00001005263,0.0000170744,0.0001574968,0.00009142482,0.0001365326,0.0003538358,0.9907836,0.00002309275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000470526,0.00002879416,0.00002444113,0.00001801389,0.00001176738,0.000004066349,0.9981683,0.00009460007,0.001602939],"genre_scores_gemma":[0.0004016515,0.0001269317,0.000186738,0.0000328339,0.000003332138,0.00003951335,0.9931544,0.0001234743,0.005931198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2382864,"threshold_uncertainty_score":0.7655153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432185784403363,"score_gpt":0.2577892586939139,"score_spread":0.2434674008498803,"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."}}