{"id":"W6931847647","doi":"10.5683/sp3/uvk99t","title":"Lac Bignell (East) Quebec. 1:50,000. Map Sheet 032A05, ed. 1, 1963","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Aerial photography; Geographic information system; Digital mapping; 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":[0.000583821,0.001917166,0.001316224,0.004762235,0.001648753,0.003377917,0.002129134,0.0007780248,0.1514668],"category_scores_gemma":[0.0035902,0.0007265097,0.0007457987,0.01886124,0.0004497371,0.001190674,0.001000309,0.001301878,0.09517094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01214937,"about_ca_system_score_gemma":0.0165119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9676275,"about_ca_topic_score_gemma":0.9793763,"domain_scores_codex":[0.9993505,0.00003983626,0.00003846109,0.0001635781,0.0002225525,0.0001850151],"domain_scores_gemma":[0.9976512,0.0001566673,0.0001402591,0.0002841674,0.001522321,0.0002454522],"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":[0.00001938764,0.000004935554,0.0009597335,0.0001576104,0.00001074309,0.00001021122,0.00002369068,0.00007862889,0.00002431469,0.000225633,0.9953266,0.00315838],"study_design_scores_gemma":[0.00005705435,0.000004427756,0.01712734,0.0002696426,0.00001325236,0.00002211306,0.0001427309,0.0001933523,0.0001107368,0.000262387,0.9817701,0.00002683452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009238346,0.0000660849,0.00002730842,0.00002784421,0.00001217343,0.00000578941,0.9978962,0.0001200105,0.001752091],"genre_scores_gemma":[0.00102427,0.0001336955,0.0001950679,0.00003309058,0.000006168433,0.00004456231,0.9920641,0.0001051696,0.006393974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1514668,"threshold_uncertainty_score":0.506707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358032349626888,"score_gpt":0.2788819455627862,"score_spread":0.2553016220665174,"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."}}