{"id":"W2916440028","doi":"10.4000/vertigo.20558","title":"Caractérisation de la morphologie des massifs dunaires de la région Pays de la Loire (France) face au risque de submersion marine","year":2018,"lang":"fr","type":"article","venue":"VertigO","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Physics; Geography; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003164939,0.0003239617,0.0002615454,0.001850458,0.0008744719,0.001647671,0.0002908752,0.0004788292,0.002768503],"category_scores_gemma":[0.0005626702,0.0001658774,0.0003526078,0.001514365,0.0005058986,0.0004199496,0.0004605819,0.0002049557,0.0004399568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834282,"about_ca_system_score_gemma":0.0007099839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2165428,"about_ca_topic_score_gemma":0.3349873,"domain_scores_codex":[0.9997403,0.00002928888,0.000008951707,0.00008100583,0.00007536257,0.00006511465],"domain_scores_gemma":[0.9995996,0.00007502249,0.0001079409,0.00001905253,0.0001625815,0.00003583137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001346938,0.00001882837,0.9307013,0.0001664676,0.00009239252,0.0004189935,0.004369078,0.002588521,0.02482903,0.0006863833,0.0003824749,0.03561197],"study_design_scores_gemma":[5.699471e-7,0.00001215008,0.9965322,0.0000117614,0.000006841625,0.00006171513,0.001320731,0.0003545719,0.0003531899,0.00002490092,0.001317109,0.000004239927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952298,0.0003759903,0.0005771293,0.00006647157,0.000003579263,0.000009396849,0.0003357664,0.00002347708,0.00337832],"genre_scores_gemma":[0.996031,0.0002146471,0.0008457772,0.00002308578,0.00000441019,0.00001109858,0.0003344444,0.00001081923,0.002524639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2165428,"threshold_uncertainty_score":0.4305648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045077664148664,"score_gpt":0.2286834273409687,"score_spread":0.2182326506994821,"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."}}