{"id":"W7099308788","doi":"","title":"SOUHAIL BOUATIA ELOUMAMI DEVELOPPEMENT DE MATERIAUX ELECTRIQUEMENT","year":2008,"lang":"en","type":"article","venue":"","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Agency (philosophy); Data collection","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002852562,0.0001333817,0.0001383652,0.00004456614,0.0002478275,0.0000778801,0.0001542106,0.00004943295,0.02282658],"category_scores_gemma":[0.00001719191,0.0001040962,0.00002723325,0.00007255462,0.0000492705,0.0001028762,0.00005188426,0.00003718039,0.001578684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589417,"about_ca_system_score_gemma":0.0001936814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324518,"about_ca_topic_score_gemma":0.00005689051,"domain_scores_codex":[0.9988933,0.00006551876,0.0002522886,0.0002138135,0.0002016875,0.0003734115],"domain_scores_gemma":[0.9996334,0.000007751722,0.00005181521,0.0001507242,0.00006162129,0.00009469454],"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":[0.00006236911,0.00003334469,0.0002199488,0.00001316426,0.000005378402,0.000007289904,0.0007584549,0.000005358619,0.9843817,0.001746018,0.01244962,0.000317353],"study_design_scores_gemma":[0.0002210604,0.0001037935,0.001278184,0.000006516475,0.000003340329,0.00006586705,0.00002891577,0.00004723547,0.9360614,0.0005573663,0.06145565,0.0001706642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591771,0.00004257248,0.003144118,0.0005081513,0.0002873098,0.000179158,0.000002080588,0.0002800283,0.03637943],"genre_scores_gemma":[0.9423294,0.00005761459,0.004919271,0.001160942,0.00007953752,0.00005339341,0.000003486099,0.00001608461,0.05138025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04900603,"threshold_uncertainty_score":0.9991987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855525689973788,"score_gpt":0.2289408506202612,"score_spread":0.2003855937205233,"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."}}