{"id":"W4386747889","doi":"10.4095/331963","title":"Federal geomatics guidelines for flood mapping: Manitoba Indigenous engagement case study","year":2023,"lang":"en","type":"report","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geomatics; Flood myth; Indigenous; Geography; Library science; Environmental planning; Remote sensing; Cartography; Archaeology; Computer science","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":[0.00979656,0.0005810044,0.0004575505,0.005875735,0.006441013,0.005409252,0.003915452,0.001761526,0.02020786],"category_scores_gemma":[0.02187054,0.0008570305,0.0004742151,0.01195766,0.001680069,0.001624421,0.002788437,0.001660387,0.004966096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01732268,"about_ca_system_score_gemma":0.08149193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8332136,"about_ca_topic_score_gemma":0.9188563,"domain_scores_codex":[0.9920967,0.002968777,0.0007844444,0.0003799886,0.002635167,0.001135018],"domain_scores_gemma":[0.9827552,0.003711326,0.0008529425,0.001638819,0.01022825,0.0008134271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001238962,0.0004719814,0.03412169,0.0008548591,0.00003494139,0.00113626,0.02546412,0.003694093,0.004073712,0.129582,0.6913826,0.1090598],"study_design_scores_gemma":[0.0000374009,0.00003775638,0.0734186,0.000955154,0.00003697229,0.0002307709,0.01961908,0.00149847,0.002230889,0.006263817,0.895601,0.00007018283],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06877077,0.002172591,0.05529427,0.03484328,0.000640122,0.01326827,0.09964414,0.002003787,0.7233628],"genre_scores_gemma":[0.2270776,0.004775453,0.2142244,0.005577419,0.0001456519,0.02035685,0.06902254,0.001309854,0.4575102],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1667864,"threshold_uncertainty_score":0.3355372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5547848264662398,"score_gpt":0.4858727322871382,"score_spread":0.06891209417910166,"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."}}