{"id":"W3111795457","doi":"10.4095/327796","title":"Northern Canada glacial geomorphology database 2020: part 1 - central mainland Nunavut","year":2020,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Glacial period; Mainland; Geography; Geology; Physical geography; Mainland China; Archaeology; Geomorphology; China","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075826,0.001306362,0.001031219,0.004638085,0.002163046,0.001701666,0.001995294,0.0004365302,0.01255569],"category_scores_gemma":[0.002748994,0.0006929272,0.0008357916,0.01481726,0.0002943472,0.000653081,0.001167151,0.000675526,0.004624002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02703127,"about_ca_system_score_gemma":0.09189568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973403,"about_ca_topic_score_gemma":0.9982369,"domain_scores_codex":[0.9991321,0.00003976922,0.00007449437,0.0001068275,0.0004509687,0.0001959643],"domain_scores_gemma":[0.9954194,0.00008846301,0.0002168085,0.0001130677,0.003641179,0.0005211467],"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":[0.0002922561,0.00007975259,0.1003545,0.0006013382,0.0002452213,0.0001517278,0.0003183429,0.001802875,0.0003507759,0.001670751,0.8630956,0.03103688],"study_design_scores_gemma":[0.0002581307,0.00002846982,0.5100517,0.0005899891,0.000226316,0.0001191003,0.000978323,0.003077611,0.001100684,0.000589248,0.482897,0.00008338637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009373572,0.0006485286,0.0002578492,0.0003265689,0.00008290172,0.0001173348,0.9829271,0.0001552307,0.006110759],"genre_scores_gemma":[0.03244865,0.001936603,0.002371763,0.0003085546,0.00003374437,0.0004901412,0.9279054,0.0001448025,0.03436039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02703127,"threshold_uncertainty_score":0.1961265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04542736032145261,"score_gpt":0.2401258095232648,"score_spread":0.1946984492018122,"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."}}