{"id":"W4387073647","doi":"","title":"TRANSPORT ET CARACTERISATION DES MATIERES EN SUSPENSION DANS LE BASSIN DE LA SEINE : IDENTIFICATION DE SIGNATURES NATURELLES ET ANTHROPIQUES","year":2003,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Forestry; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0005540475,0.0003897571,0.0003675451,0.001822481,0.001112524,0.00185349,0.0004382087,0.0008021845,0.004156929],"category_scores_gemma":[0.001658694,0.0002777059,0.0003621546,0.002309273,0.0009255114,0.000941224,0.0009172942,0.0004955624,0.001099294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007899808,"about_ca_system_score_gemma":0.0005868381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05532811,"about_ca_topic_score_gemma":0.06736074,"domain_scores_codex":[0.9996647,0.00004626337,0.00001593025,0.00009659823,0.0001209539,0.00005555625],"domain_scores_gemma":[0.9993011,0.0001697451,0.0001599192,0.00004036416,0.0002703042,0.00005859491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005767425,0.00007644872,0.868893,0.0002070944,0.0001742287,0.001070315,0.01995028,0.005479135,0.03226748,0.005450525,0.001903324,0.0639514],"study_design_scores_gemma":[0.000009826545,0.00008493811,0.9727623,0.00006078096,0.0000442772,0.0003699943,0.008628631,0.005004708,0.002738788,0.0008536359,0.00940146,0.00004076821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883937,0.0003452992,0.005021073,0.0001667715,0.00003172742,0.00001096738,0.0006820924,0.00007890327,0.005269529],"genre_scores_gemma":[0.9924615,0.0001431239,0.00233737,0.00001255676,0.00001727124,0.00001257014,0.0004206377,0.00004069155,0.004554286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05532811,"threshold_uncertainty_score":0.1100121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369826316629653,"score_gpt":0.2583053179315705,"score_spread":0.244607054765274,"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."}}