{"id":"W6969252449","doi":"10.5683/sp3/qbrc2b","title":"Rivière Natouacamisie Quebec. 1:50,000. Map Sheet 032M01, ed. 1, 1982","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); Digital mapping; 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":[0.000623947,0.002292487,0.001647055,0.005406305,0.001527375,0.003531494,0.002136141,0.0006998142,0.1512305],"category_scores_gemma":[0.003129793,0.0008422045,0.0007581233,0.02399277,0.000412741,0.001149479,0.0008373425,0.001356118,0.08686678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389396,"about_ca_system_score_gemma":0.01910514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9721997,"about_ca_topic_score_gemma":0.9789795,"domain_scores_codex":[0.9992056,0.00004308296,0.00004857549,0.0001909626,0.0003197332,0.0001920267],"domain_scores_gemma":[0.9975061,0.0001356265,0.0001385252,0.000251107,0.001772881,0.0001958427],"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":[0.00001949743,0.000006477137,0.0009339484,0.0001858864,0.00001229306,0.00001294586,0.00002313331,0.0001275162,0.00003719196,0.000291786,0.9925788,0.005770483],"study_design_scores_gemma":[0.00004402032,0.000004185168,0.01858427,0.0002365852,0.00001237276,0.00002275633,0.0001039287,0.0002677616,0.0001147878,0.0002314914,0.9803524,0.00002535809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001071842,0.0001041077,0.00004595429,0.00003842995,0.00001896712,0.000008312612,0.9966832,0.0001460576,0.002847764],"genre_scores_gemma":[0.001294294,0.0002461219,0.0003486054,0.00003456452,0.000007613903,0.00006320837,0.9860104,0.0001460547,0.01184913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1512305,"threshold_uncertainty_score":0.5059166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317613643985897,"score_gpt":0.2601877579912003,"score_spread":0.2470116215513413,"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."}}