{"id":"W7116070932","doi":"10.26071/20449802-8533-4c94","title":"Le marais salé de Ti-Basse (Port-Cartier) - Caractérisation des habitats littoraux d'importance de la Côte-Nord du golfe du Saint-Laurent","year":2024,"lang":"fr","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Littoral zone; Pacific ocean; Georeference; Coastal zone","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.004755663,0.002291968,0.001980179,0.0009497729,0.00145359,0.001738376,0.001815114,0.002456017,0.0002036369],"category_scores_gemma":[0.002154132,0.002748954,0.001262065,0.001268134,0.002430883,0.001238544,0.000807742,0.003334714,0.0109493],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01291589,"about_ca_system_score_gemma":0.009415153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162682,"about_ca_topic_score_gemma":0.009372172,"domain_scores_codex":[0.9854838,0.003692278,0.003031659,0.002968356,0.002159302,0.002664572],"domain_scores_gemma":[0.9903342,0.001404184,0.002426095,0.003391338,0.0008143819,0.001629858],"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":[0.0004008908,0.001404973,0.2026425,0.002503264,0.000978246,0.01170985,0.001367641,0.0004236329,0.009423899,0.0007415938,0.7676691,0.0007344036],"study_design_scores_gemma":[0.001004517,0.0003859545,0.1223555,0.002202694,0.002048244,0.004330322,0.0004500463,0.0007731462,0.003173303,0.0006596133,0.8604243,0.002192334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4486457,0.03826428,0.0002625951,0.00101003,0.009555575,0.002177277,0.4922613,0.001362664,0.006460531],"genre_scores_gemma":[0.4192279,0.003688687,0.003414276,0.0005816626,0.009968542,0.001343622,0.5548664,0.001839557,0.005069323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09275518,"threshold_uncertainty_score":0.9998464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099220776222174,"score_gpt":0.2546801381003121,"score_spread":0.2436879303380904,"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."}}