{"id":"W7164923833","doi":"10.5281/zenodo.20714982","title":"D1.4 - Report about the provision (incl. processing) of materials for the different PhDs","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"European Commission","keywords":"Government (linguistics); Work (physics); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001670511,0.0001187741,0.0001374887,0.0000633173,0.001859586,0.001818508,0.0007002166,0.00004319469,0.01123734],"category_scores_gemma":[0.0005218655,0.00006218775,0.00004518257,0.0002136378,0.0002133448,0.0001827316,0.0004719304,0.00008604788,0.0007566793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006553308,"about_ca_system_score_gemma":0.00001074948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003563052,"about_ca_topic_score_gemma":5.511264e-7,"domain_scores_codex":[0.998484,0.0002363974,0.0003535171,0.0002989543,0.0003912033,0.0002359074],"domain_scores_gemma":[0.998954,0.00004486708,0.0001269355,0.0003445086,0.0004832907,0.00004641042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001525795,0.00004642766,2.146942e-7,0.0004109492,0.00001614258,0.000003761161,0.001520086,0.0000126037,0.8960635,0.002556288,0.0626436,0.03657382],"study_design_scores_gemma":[0.0000960684,0.0001331353,0.00006338747,0.00006857117,0.00001722869,0.00008695642,0.0001294688,0.0002380654,0.2984689,0.0001950038,0.7004321,0.00007109193],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192302,0.00234208,0.02185563,0.00973013,0.003808089,0.004749587,0.0008988935,0.002756253,0.03462918],"genre_scores_gemma":[0.9963751,0.00007747325,0.0000532761,0.00007255303,0.0003054889,7.130714e-7,0.000150209,0.0004283296,0.002536846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6377885,"threshold_uncertainty_score":0.9994398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435978896460642,"score_gpt":0.2745509793292582,"score_spread":0.230953089683194,"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."}}