{"id":"W6912932370","doi":"10.5683/sp3/t2mc4u","title":"Jeanette Lake Ontario. 1:50,000. Map Sheet 052N01, ed. 2, 1976","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Raster graphics; General partnership; Natural (archaeology); Viewshed analysis; 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":[0.0004437784,0.002051447,0.00150529,0.005521811,0.001658735,0.003503199,0.001706029,0.0006292004,0.1925348],"category_scores_gemma":[0.002825143,0.001038671,0.0006326356,0.0230158,0.0005240826,0.001400816,0.001215267,0.0009940128,0.1638912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008677634,"about_ca_system_score_gemma":0.01586594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8637151,"about_ca_topic_score_gemma":0.9246755,"domain_scores_codex":[0.99929,0.00002897864,0.00005494944,0.0001717199,0.0002924041,0.0001619208],"domain_scores_gemma":[0.9980434,0.0001277408,0.000178672,0.0002318591,0.001195648,0.0002226784],"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":[0.0000131372,0.000002518224,0.0004579361,0.0002364433,0.000006198351,0.000009531526,0.00002879236,0.00004907507,0.00002893304,0.0001865013,0.9963445,0.002636433],"study_design_scores_gemma":[0.00002384386,0.000002117222,0.006343924,0.0001294664,0.00000685162,0.00001504037,0.00008151851,0.00004621094,0.00005986297,0.0001373087,0.9931421,0.00001167998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005118121,0.00006199456,0.00002344796,0.00002589222,0.00001204686,0.000004767487,0.9973423,0.00009964931,0.002378829],"genre_scores_gemma":[0.0004679433,0.0001951713,0.0001788967,0.00002173639,0.00000693405,0.0000406974,0.9913346,0.0001122362,0.007641749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1925348,"threshold_uncertainty_score":0.6440931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627255657942182,"score_gpt":0.2492993551551422,"score_spread":0.2330267985757204,"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."}}