{"id":"W4393531152","doi":"10.5281/zenodo.8117543","title":"SuperCorals_Experimentdata","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","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":[0.001546528,0.00344681,0.002365232,0.003464571,0.001204401,0.002653788,0.003237351,0.002790581,0.06551968],"category_scores_gemma":[0.007101685,0.0009762676,0.002663521,0.005033457,0.0007640691,0.001194481,0.002280967,0.002105213,0.06005076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481843,"about_ca_system_score_gemma":0.002994223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532227,"about_ca_topic_score_gemma":0.0316744,"domain_scores_codex":[0.9983665,0.0002920877,0.0001863068,0.0006331941,0.0003420871,0.0001799054],"domain_scores_gemma":[0.9970696,0.001379184,0.0002241214,0.0006520145,0.0004725285,0.0002023861],"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":[0.000347963,0.00008548924,0.002466658,0.003713978,0.0003068345,0.00008052584,0.00005250556,0.001651397,0.0008717546,0.0007732106,0.9843696,0.005280198],"study_design_scores_gemma":[0.0009387785,0.00009458699,0.009398652,0.0005948918,0.0003128641,0.0001424458,0.00009222414,0.001509672,0.00153626,0.002705949,0.9825743,0.0000994564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002162631,0.0001216784,0.0001162692,0.00003756875,0.00002733531,0.00001344207,0.9986035,0.0005049156,0.000359004],"genre_scores_gemma":[0.0005018269,0.00006444233,0.0003420562,0.00004590708,0.000005359949,0.00009467036,0.9985672,0.00007198756,0.0003065542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06551968,"threshold_uncertainty_score":0.2191852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232487331874085,"score_gpt":0.2625422951688081,"score_spread":0.2202174218500673,"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."}}