{"id":"W6969027931","doi":"10.5683/sp3/d2ugzh","title":"Anahareo Lake Ontario. 1:50,000. Map Sheet 042C10, ed. 1, 1969","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; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Aerial photography; Viewshed analysis; Geographic information system; Orthophoto","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":[0.000366915,0.001721945,0.001107202,0.004611169,0.001664059,0.002692124,0.001571827,0.0005104951,0.1208332],"category_scores_gemma":[0.002111011,0.0008803001,0.0006063349,0.01985333,0.0005209461,0.001107013,0.001061982,0.0008625018,0.09071676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008866669,"about_ca_system_score_gemma":0.01654438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9138657,"about_ca_topic_score_gemma":0.9610773,"domain_scores_codex":[0.9993885,0.00002343895,0.00004353564,0.0001414027,0.0002588518,0.0001442766],"domain_scores_gemma":[0.9984396,0.00007817179,0.0001537991,0.0001724211,0.0009801682,0.0001758205],"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":[0.00002059233,0.000003956632,0.001086826,0.0003086455,0.000009476552,0.00001601078,0.00006052804,0.00006303586,0.0000592658,0.0002371,0.9945897,0.003544868],"study_design_scores_gemma":[0.00002824767,0.00000278073,0.01200903,0.0001268248,0.000008824341,0.00002106603,0.0001436258,0.00005731032,0.00007266091,0.0001391464,0.9873775,0.000013076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001099395,0.0000630394,0.00002613889,0.00002831657,0.00001408002,0.00000690957,0.9972473,0.00008214929,0.002422024],"genre_scores_gemma":[0.0009497195,0.0001932338,0.0002455728,0.00002387028,0.0000079042,0.00005139284,0.9907591,0.00009485985,0.007674384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1208332,"threshold_uncertainty_score":0.4042272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765811101873499,"score_gpt":0.2562989874770671,"score_spread":0.2386408764583322,"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."}}