{"id":"W2794596846","doi":"","title":"Caractérisations géophysique et géotechnique de la partie profonde de la plage de Ste-Luce-sur-Mer.","year":2017,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plage; Humanities; Forestry; Geology; Geography; Art; Shore; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006467144,0.000735922,0.0003405614,0.001622139,0.0006540761,0.001002186,0.000373804,0.0006112276,0.002816315],"category_scores_gemma":[0.0008173037,0.0004256804,0.0004496634,0.001181592,0.0004186739,0.0004842438,0.000407774,0.0006208452,0.00103086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090994,"about_ca_system_score_gemma":0.001155407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09383406,"about_ca_topic_score_gemma":0.2925819,"domain_scores_codex":[0.9994337,0.00002227623,0.00001510066,0.0001198902,0.0003592586,0.000049817],"domain_scores_gemma":[0.9994403,0.0001036033,0.00005982403,0.00003195883,0.0003413389,0.00002307355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002865948,0.00005073678,0.122679,0.0007459695,0.0001451427,0.0005223795,0.001445179,0.01312379,0.783138,0.0006206878,0.001009146,0.07623331],"study_design_scores_gemma":[0.00001849668,0.0002317249,0.7101126,0.0001026229,0.00009638713,0.0005801764,0.00125915,0.0235869,0.2386335,0.0003736342,0.02493125,0.00007360505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911291,0.002177385,0.06539127,0.000196438,0.00006599911,0.0001508696,0.003850362,0.0008020675,0.01607467],"genre_scores_gemma":[0.9312624,0.001444963,0.04805845,0.00009261907,0.00001577234,0.0001117281,0.003227566,0.0002203958,0.01556612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.906166,"threshold_uncertainty_score":0.1865758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06466198608188051,"score_gpt":0.344225241916443,"score_spread":0.2795632558345625,"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."}}