{"id":"W4412860626","doi":"10.1016/j.catena.2025.109328","title":"Floodplain-age distribution interrogated via photogrammetry and dendrochronology: A case study from the Tsǟlnjik Chú (Nordenskiold River) of Yukon, Canada","year":2025,"lang":"en","type":"article","venue":"CATENA","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Commission géologique du Yukon","keywords":"Floodplain; Photogrammetry; Dendrochronology; Archaeology; Geology; Physical geography; Geography; Distribution (mathematics); Hydrology (agriculture); Remote sensing; Cartography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559311,0.0001251818,0.000233245,0.00004426616,0.000274466,0.00001424568,0.0002364533,0.0001121735,0.0002265012],"category_scores_gemma":[0.0001096575,0.00008617472,0.00002657813,0.0002763329,0.0004734979,0.00003406196,0.00005238909,0.0002972708,0.00001347639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005164699,"about_ca_system_score_gemma":0.0002031256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8707623,"about_ca_topic_score_gemma":0.9874085,"domain_scores_codex":[0.9988399,0.0002782018,0.0002148935,0.0002699993,0.00009623912,0.0003008117],"domain_scores_gemma":[0.999018,0.0005469761,0.00006015371,0.0002449788,0.00005946492,0.00007044049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006077142,0.00002984342,0.9948722,0.00001089266,0.0001243453,0.001836237,0.000485281,0.00001638343,0.000007920484,0.000004476553,0.000687183,0.001864431],"study_design_scores_gemma":[0.0006678362,0.0001412274,0.9913391,0.00001307705,0.00007889423,0.0005360479,0.004644344,0.001737721,0.0001415049,0.0002311396,0.0003707368,0.00009833023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971028,0.001399028,0.00007337901,0.0003712218,0.0002619681,0.0003029469,0.0002150037,0.00001539924,0.0002582577],"genre_scores_gemma":[0.9993405,0.00002598827,0.00001261528,0.0001569924,0.00001379865,0.000003927723,0.0003692516,0.000001463525,0.00007544471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166461,"threshold_uncertainty_score":0.3514103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009481605305814746,"score_gpt":0.225621664269386,"score_spread":0.2161400589635712,"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."}}