{"id":"W4286964198","doi":"10.5281/zenodo.5562050","title":"CARACTERISATIONS PHYSICO-CHIMIQUES ET MINERALOGIQUES DE LARGILE DAKLAKOU UTILISEE DANS LA POTERIE EN VUE DE SON APPLICATION DANS LA FORMULATION DES AGREGATS LEGERS","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Philosophy; Humanities","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":[0.0002229852,0.0002303015,0.000203557,0.0003771882,0.0002417647,0.0004457176,0.0001347234,0.0002804999,0.001999282],"category_scores_gemma":[0.0003374353,0.0001691846,0.0001460587,0.0001936983,0.0002825783,0.0002429522,0.0001988499,0.0003335426,0.0003895847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703743,"about_ca_system_score_gemma":0.0001538369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674041,"about_ca_topic_score_gemma":0.005344901,"domain_scores_codex":[0.9997938,0.0000395,0.000008494995,0.0000507671,0.00006009283,0.00004740583],"domain_scores_gemma":[0.9998704,0.00004552662,0.00003136115,0.000005805203,0.00002866075,0.0000182744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001457839,0.00001328115,0.001113941,0.00007604631,0.000006686509,0.0001036367,0.0001253063,0.00009014615,0.9959352,0.00004117214,0.00001992573,0.002328813],"study_design_scores_gemma":[0.000009397955,0.0004337991,0.03864682,0.00002336071,0.00003515021,0.0003334476,0.0005031558,0.0005790934,0.953845,0.00005959066,0.005510448,0.00002072208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964624,0.0008805803,0.0007801279,0.00002277904,0.000007503174,0.00001470789,0.0001172669,0.00001233841,0.001702207],"genre_scores_gemma":[0.9971282,0.0003804923,0.0007500674,0.00001380764,0.0000020129,0.00001285184,0.00007522397,0.00001155898,0.001625723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001999282,"threshold_uncertainty_score":0.006688297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144210844719163,"score_gpt":0.2769128208627269,"score_spread":0.2554707124155353,"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."}}