{"id":"W7116058558","doi":"10.26071/e699c0a1-ee1d-4343","title":"Le marais salé de la Baie Cachée (Port-Cartier) - Caractérisation des habitats littoraux d'importance de la Côte-Nord du golfe du Saint-Laurent","year":2025,"lang":"fr","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coastal zone; Littoral zone; Georeference; Pacific ocean; Statistical analysis","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":[0.0008392288,0.001783325,0.001090216,0.004382399,0.001164187,0.001873359,0.002362017,0.00173965,0.01573056],"category_scores_gemma":[0.003355166,0.0004985898,0.001527252,0.006408207,0.0005705057,0.00131174,0.001876491,0.001353769,0.01826728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004355968,"about_ca_system_score_gemma":0.004620663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5401302,"about_ca_topic_score_gemma":0.7384884,"domain_scores_codex":[0.9991537,0.0001123985,0.00006638213,0.000251985,0.0002431849,0.0001723265],"domain_scores_gemma":[0.9982575,0.0002646237,0.0001336062,0.0002998858,0.000869428,0.0001749216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001300948,0.00004850603,0.01122698,0.001523191,0.0001121174,0.000137621,0.0003229046,0.001311513,0.0007628934,0.001038846,0.9708311,0.01255427],"study_design_scores_gemma":[0.0001019537,0.00002904469,0.05907755,0.0006430822,0.0000572751,0.0001391337,0.0007865255,0.001754452,0.0008909349,0.0008323329,0.9356208,0.00006675976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001988617,0.0003333474,0.000235106,0.00014895,0.00005002765,0.00001643263,0.9952633,0.0006083614,0.00135576],"genre_scores_gemma":[0.002308172,0.0001376274,0.0007072404,0.00003224177,0.000006816965,0.00004518831,0.9950257,0.00006415214,0.001672906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4598698,"threshold_uncertainty_score":0.9251561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008811483788798419,"score_gpt":0.2549745168623109,"score_spread":0.2461630330735124,"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."}}