{"id":"W7104394079","doi":"10.6084/m9.figshare.30562070.v1","title":"Additional file 1 of A deep learning-based model for endorsing predictive accuracies of landslide prediction: insights into soil moisture dynamics","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Landslide; Water content; Moisture; Dynamics (music); Calibration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008991328,0.0008092861,0.0006610892,0.0009354071,0.0003534644,0.0009158559,0.001900913,0.001414751,0.7089874],"category_scores_gemma":[0.01185304,0.0004217218,0.0005941879,0.001569288,0.0001990216,0.001251954,0.0007662121,0.0008480699,0.1470537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346431,"about_ca_system_score_gemma":0.0007896319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008665625,"about_ca_topic_score_gemma":0.01590445,"domain_scores_codex":[0.9997616,0.0000402088,0.00002802231,0.00007302701,0.00006493187,0.00003220614],"domain_scores_gemma":[0.9938891,0.004445462,0.0002197752,0.0005204539,0.0008231947,0.0001020103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001635559,0.0001115877,0.003628069,0.0007875918,0.00004266896,0.00007135716,0.00002818896,0.009390073,0.0002765456,0.00176291,0.9649038,0.01883379],"study_design_scores_gemma":[0.004251771,0.000400622,0.02881952,0.001268683,0.0001713703,0.0004982765,0.0003008543,0.1906464,0.006709431,0.05192663,0.7147363,0.0002700941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000465505,0.00001332306,0.001668553,0.00009920581,0.00002561672,0.00002886864,0.9958947,0.000908981,0.0008951868],"genre_scores_gemma":[0.02318724,0.00008125308,0.01309923,0.0002541384,0.00007944712,0.0005805393,0.9540214,0.001226774,0.007469921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7089874,"threshold_uncertainty_score":0.4150941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943817853113721,"score_gpt":0.241873675693061,"score_spread":0.2324354971619237,"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."}}