{"id":"W6969338825","doi":"10.5683/sp3/nt2kfj","title":"Peel Creek Alberta. 1:50,000. Map Sheet 084I03, ed. 1, 1983","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Topographic map (neuroanatomy); Aerial photography; Geographic information system; Digital mapping","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":[0.0004554016,0.001768344,0.001168248,0.005123413,0.001091578,0.003242659,0.001977907,0.0005800818,0.09960984],"category_scores_gemma":[0.001874903,0.0008440213,0.0004966792,0.02424123,0.000351967,0.0008907461,0.0007731079,0.001204147,0.0972579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006889461,"about_ca_system_score_gemma":0.01222233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8681163,"about_ca_topic_score_gemma":0.9126806,"domain_scores_codex":[0.9994472,0.00002486473,0.0000351181,0.0001227796,0.0002507642,0.0001191791],"domain_scores_gemma":[0.9986564,0.00009828941,0.00008511692,0.0001496366,0.0008540383,0.000156454],"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":[0.00002196919,0.000006459909,0.000855117,0.0001810158,0.000008494882,0.000015222,0.00002283979,0.0001465149,0.00003331703,0.0002557205,0.9932421,0.005211178],"study_design_scores_gemma":[0.00005071191,0.000004321218,0.01647916,0.0001697065,0.00001341432,0.00002510254,0.0001867981,0.0002253913,0.0001412877,0.000467318,0.982217,0.00001988348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001238287,0.00005703678,0.00003305175,0.00002214666,0.00001082897,0.000005183285,0.9972964,0.0001099226,0.002341671],"genre_scores_gemma":[0.000570928,0.0001367712,0.0002400283,0.00001831345,0.000003697146,0.00002655603,0.9929738,0.00005878306,0.005971107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1318837,"threshold_uncertainty_score":0.3332282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618760075419195,"score_gpt":0.3387091777582481,"score_spread":0.2768331702163286,"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."}}