{"id":"W2607433207","doi":"10.4138/atlgeol.2017.005","title":"Tracking rapid landscape change with repeated photography, Gros Morne National Park, Canada","year":2017,"lang":"en","type":"article","venue":"Atlantic Geology","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Landslide; National park; Storm; Rockfall; Debris; Natural (archaeology); Cliff; Landform; Intertidal zone; Physical geography; Hydrology (agriculture); Geomorphology; Oceanography; Archaeology; Geography; Paleontology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001454458,0.0001251437,0.0001601627,0.00002395639,0.0003547176,0.00003252407,0.0002775024,0.00009414791,0.002045504],"category_scores_gemma":[0.00002806884,0.00008484859,0.00003249051,0.00006703049,0.000198018,0.0001105982,0.0001073329,0.000144211,0.00005779706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003702558,"about_ca_system_score_gemma":0.00004752649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6265675,"about_ca_topic_score_gemma":0.6303693,"domain_scores_codex":[0.9989666,0.00002766649,0.0001313119,0.0002778009,0.0002712451,0.0003253787],"domain_scores_gemma":[0.9994574,0.000030151,0.0001284859,0.0002806703,0.00001889109,0.00008442462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003698118,0.00002087624,0.9931167,0.000004102136,0.00004195713,0.0001546792,0.0000738578,0.00007033236,0.0001139727,0.00004744421,0.004958455,0.001360615],"study_design_scores_gemma":[0.0006423686,0.00007269096,0.9760987,0.0000122574,0.00002235435,0.0001849517,0.00002274835,0.001033502,0.00009236862,0.00009123727,0.02156146,0.0001653856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747595,0.00004452874,0.00001212373,0.001404019,0.0002149701,0.0001542322,0.000002382329,0.00002357207,0.02338464],"genre_scores_gemma":[0.9988691,0.00006708231,0.00009084141,0.0004045034,0.00008079846,0.00001964412,0.00003107189,0.0000100991,0.0004268868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02410954,"threshold_uncertainty_score":0.9988667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158921198035052,"score_gpt":0.2123409580031946,"score_spread":0.1964488381996894,"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."}}