{"id":"W6932007138","doi":"10.5683/sp3/r88swa","title":"Upsalquitch Forks (East) New Brunswick. 1:50,000. Map Sheet 021O10, ed. 1, 1957","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); Geographic information system; Government (linguistics); Digital mapping; Orthophoto; Viewshed analysis","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":[0.0005294598,0.001815263,0.001290773,0.005304279,0.001185777,0.003279102,0.002204254,0.0006135468,0.1353854],"category_scores_gemma":[0.002768753,0.001017549,0.0006093718,0.01928473,0.0004130148,0.00137522,0.001289444,0.001191977,0.1312473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007092411,"about_ca_system_score_gemma":0.0129071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8459964,"about_ca_topic_score_gemma":0.9233962,"domain_scores_codex":[0.9992994,0.00003486877,0.00006423835,0.0001963713,0.000224476,0.0001806676],"domain_scores_gemma":[0.9979924,0.0001175117,0.0001741393,0.0003151123,0.001220477,0.0001803355],"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":[0.00002281335,0.000004034815,0.001031273,0.0002600855,0.00001159892,0.00002122949,0.00004112384,0.00008754139,0.00007855958,0.0003052871,0.9935221,0.004614476],"study_design_scores_gemma":[0.00002576163,0.000002032002,0.008178446,0.0001601558,0.000006550301,0.0000199633,0.0001392974,0.00004570678,0.0001179823,0.0001661141,0.9911222,0.00001582964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000990639,0.00007977959,0.00002782727,0.00002720592,0.00002343553,0.000006306299,0.9972946,0.0001061075,0.00233571],"genre_scores_gemma":[0.0006755734,0.0001581698,0.0002021623,0.0000269633,0.000004838483,0.00003345919,0.9925355,0.0001366935,0.006226598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1540036,"threshold_uncertainty_score":0.4529093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916132300212146,"score_gpt":0.2683399781477656,"score_spread":0.2491786551456442,"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."}}