{"id":"W4393685682","doi":"10.5281/zenodo.3558668","title":"Grodi - Nanodusty plasma simulations","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Plasma; Environmental science; Physics; Nuclear physics","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":[0.0007147957,0.002437586,0.001488364,0.0014901,0.0008449462,0.001406976,0.00454935,0.002534033,0.02405902],"category_scores_gemma":[0.00243984,0.00072432,0.001895477,0.00255983,0.0004157622,0.000970692,0.001176634,0.002300758,0.02300768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090423,"about_ca_system_score_gemma":0.001514788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566034,"about_ca_topic_score_gemma":0.0281884,"domain_scores_codex":[0.9995478,0.00009475862,0.00003531246,0.0001270427,0.0001283162,0.00006677652],"domain_scores_gemma":[0.9994698,0.0002166634,0.00003662142,0.0001102844,0.0001114711,0.00005510591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002440321,0.0001089509,0.001199085,0.00152489,0.000236038,0.0001163692,0.00004708409,0.02821623,0.0007145717,0.002845734,0.9584459,0.006301099],"study_design_scores_gemma":[0.001643871,0.0001077239,0.003278271,0.000389455,0.0001541377,0.0001989264,0.0000873817,0.09092291,0.003917807,0.017949,0.8812318,0.0001186649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002622358,0.0004656606,0.001466708,0.0002890341,0.00009875947,0.00005355288,0.9859217,0.005845195,0.003237124],"genre_scores_gemma":[0.004409207,0.0002462637,0.004141767,0.0001781513,0.00001629767,0.0002226157,0.9888758,0.0008023559,0.001107579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02405902,"threshold_uncertainty_score":0.08048546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056677287171358,"score_gpt":0.2410273141147247,"score_spread":0.2004605412430111,"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."}}