{"id":"W7045514024","doi":"","title":"Approches pour la concentration de minerais de fer complexes de basse teneur","year":2024,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Trace Elements in Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Liquidus; Pyrometallurgy; Mineral","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":[0.001056468,0.0006763019,0.0005139173,0.0008156858,0.0006565743,0.001504854,0.0009031481,0.001104106,0.003876295],"category_scores_gemma":[0.000911646,0.000405846,0.0006408616,0.0003095085,0.0004742793,0.0008573139,0.0007040043,0.001353208,0.001839979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051022,"about_ca_system_score_gemma":0.0009007663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003001163,"about_ca_topic_score_gemma":0.008295827,"domain_scores_codex":[0.999038,0.00009456625,0.00003391284,0.0002428742,0.0005014132,0.00008925577],"domain_scores_gemma":[0.9997956,0.00005098533,0.0000347107,0.0000231127,0.00007763362,0.0000179966],"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":[0.0002794782,0.0001762642,0.000844554,0.0003766705,0.00004486366,0.000152229,0.0002037803,0.007890595,0.9264929,0.004539856,0.0007882442,0.05821067],"study_design_scores_gemma":[0.0001091046,0.0009288771,0.001603079,0.00008169893,0.00006051083,0.0002092762,0.0001724685,0.02827994,0.9247345,0.001287036,0.04248586,0.00004750809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4862183,0.007208338,0.4651183,0.001613847,0.0003620738,0.001099795,0.0005168418,0.002031035,0.03583147],"genre_scores_gemma":[0.7166891,0.005906567,0.244789,0.000563641,0.0001085069,0.0005847618,0.0005459507,0.0003318534,0.03048065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003876295,"threshold_uncertainty_score":0.01296753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683688520349148,"score_gpt":0.2821602263901148,"score_spread":0.2653233411866233,"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."}}