{"id":"W4389196853","doi":"10.54677/lumo4515","title":"Supporting open hardware for open science","year":2023,"lang":"en","type":"report","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open science; Open source hardware; Open source; Computer science; Open platform; Operating system; Software; Physics","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":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01075204,0.001035087,0.0006619056,0.002752372,0.002782969,0.01494035,0.003100139,0.004189926,0.3014258],"category_scores_gemma":[0.05139617,0.0009567245,0.001175711,0.00382764,0.00376167,0.02365709,0.0217072,0.005365706,0.2350165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237652,"about_ca_system_score_gemma":0.006806513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398582,"about_ca_topic_score_gemma":0.003238745,"domain_scores_codex":[0.9903097,0.002875763,0.0008881332,0.0009343218,0.003827108,0.001165086],"domain_scores_gemma":[0.9624904,0.01144855,0.001138293,0.01489275,0.005558569,0.004471396],"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":[0.00004988819,0.00005601975,0.0002561798,0.0003043977,0.000008688205,0.0001706926,0.00122777,0.000440465,0.001131635,0.2864878,0.5045043,0.2053622],"study_design_scores_gemma":[0.000009668192,0.000007870055,0.00008004653,0.0001018179,0.000001507448,0.00004295428,0.0001323591,0.0003263076,0.0002387172,0.0248554,0.9741891,0.0000141872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001799686,0.001018285,0.2084548,0.02196847,0.005427421,0.000504241,0.002974559,0.0355415,0.722311],"genre_scores_gemma":[0.03707369,0.004170593,0.1832034,0.006779081,0.004376386,0.001545469,0.01353088,0.028625,0.7206955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9968998,"threshold_uncertainty_score":0.9964313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6905488861732056,"score_gpt":0.612659646908098,"score_spread":0.0778892392651076,"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."}}