{"id":"W6969681923","doi":"10.5683/sp3/guoczl","title":"Lac Olga Quebec. 1:50,000. Map Sheet 032F14, ed. 1, 1976","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Viewshed analysis; Aerial photography; Geographic information system; Government (linguistics)","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":[0.000593713,0.001996892,0.001545472,0.005990889,0.001519308,0.003187857,0.002189932,0.0007076089,0.1801467],"category_scores_gemma":[0.003845841,0.0007505968,0.0007710967,0.02524347,0.0004185794,0.001069308,0.0008636724,0.001195689,0.1047063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01397645,"about_ca_system_score_gemma":0.02033876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9681229,"about_ca_topic_score_gemma":0.9763091,"domain_scores_codex":[0.9992796,0.00004524356,0.00005026446,0.0001621946,0.0002638526,0.0001989451],"domain_scores_gemma":[0.9971309,0.0001797748,0.0001548891,0.000277795,0.001992978,0.0002637505],"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":[0.00001650829,0.000004548455,0.000786138,0.0001571523,0.000009638331,0.00001001536,0.00001582729,0.00008922688,0.00002049754,0.0002221031,0.9948665,0.003801818],"study_design_scores_gemma":[0.00005304521,0.000004511497,0.01690282,0.0002855039,0.00001413128,0.00002600481,0.0001325528,0.0002124382,0.00009545816,0.0002632793,0.9819854,0.00002488874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007268581,0.000070779,0.00002754331,0.00003507623,0.00001435783,0.000006558332,0.9977511,0.00009623658,0.001925648],"genre_scores_gemma":[0.0009266769,0.0001955276,0.0002231424,0.00003268919,0.000007782904,0.00005616703,0.9903153,0.0000977151,0.008144972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9681229,"threshold_uncertainty_score":0.6026508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482335997228047,"score_gpt":0.3256052684414985,"score_spread":0.290781908469218,"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."}}