{"id":"W6931915694","doi":"10.5683/sp3/tolg9y","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Division (CD) - 1881 - File Geodatabase format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; File format; Documentation; Census; Geocoding; Data file; Boundary (topology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157073,0.001811458,0.001462329,0.004201703,0.0008430106,0.002281295,0.003051078,0.001000846,0.08396266],"category_scores_gemma":[0.005390408,0.0009664067,0.0008229296,0.01099481,0.0003979063,0.00142802,0.002319945,0.001693621,0.1306692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419289,"about_ca_system_score_gemma":0.004295786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0764098,"about_ca_topic_score_gemma":0.1010836,"domain_scores_codex":[0.9987385,0.0001721971,0.000166914,0.0003634017,0.0003211275,0.0002378687],"domain_scores_gemma":[0.9972835,0.0003158608,0.0002863288,0.0008372813,0.001010286,0.0002668833],"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":[0.00005277044,0.00001112897,0.001247029,0.0003392304,0.00002164194,0.00001446072,0.00003475532,0.0001392649,0.0001537343,0.0007525826,0.995218,0.00201541],"study_design_scores_gemma":[0.00007877807,0.000004770753,0.005094029,0.0001289467,0.00001214901,0.00002504411,0.00007700237,0.0001016283,0.0003289559,0.0005144266,0.9936172,0.00001713027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009296536,0.00001329875,0.00007750025,0.00001770556,0.000009435314,0.000005809288,0.9987264,0.0002606092,0.000796216],"genre_scores_gemma":[0.000252232,0.00002075088,0.0002644662,0.00001445111,0.000001941186,0.00003633026,0.9987714,0.0001102296,0.0005281491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08396266,"threshold_uncertainty_score":0.2808831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816047094357452,"score_gpt":0.2702647773444348,"score_spread":0.2521043064008603,"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."}}