{"id":"W4321151932","doi":"10.5281/zenodo.7645764","title":"Benchmark of sensor options","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Benchmark (surveying); Computer science; Geography; Cartography","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":[0.0124611,0.002763438,0.001183532,0.004117038,0.001414743,0.007708917,0.004753341,0.003712138,0.0442315],"category_scores_gemma":[0.01312687,0.0007327257,0.001386191,0.002805428,0.0006886772,0.0116443,0.003798598,0.002680835,0.02100308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003898974,"about_ca_system_score_gemma":0.002782466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003702307,"about_ca_topic_score_gemma":0.003839862,"domain_scores_codex":[0.9906636,0.001213344,0.0003498417,0.001038073,0.005746431,0.0009886249],"domain_scores_gemma":[0.9912421,0.001903675,0.0003098915,0.001025392,0.004946282,0.0005726201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002182794,0.0008248458,0.003939725,0.004301939,0.0001811352,0.0005750916,0.000326585,0.05514322,0.05135483,0.1552231,0.220861,0.5050857],"study_design_scores_gemma":[0.0001300336,0.002003807,0.003493218,0.001446989,0.0001569433,0.0008158312,0.0008258622,0.03810861,0.08692485,0.0562796,0.8095841,0.0002302806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04824935,0.02251638,0.1120859,0.01327318,0.002044673,0.001395436,0.03953556,0.008933305,0.7519661],"genre_scores_gemma":[0.5334163,0.03280231,0.1793244,0.004887061,0.0006427796,0.003595059,0.1114879,0.005140773,0.1287035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0442315,"threshold_uncertainty_score":0.1479691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09283209079736943,"score_gpt":0.2985409026600489,"score_spread":0.2057088118626795,"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."}}