{"id":"W6968389221","doi":"10.5281/zenodo.14816940","title":"The Open SprayBot","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Software; Cartridge; Tray; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989758,0.002964376,0.001998921,0.004597155,0.0008914082,0.002998767,0.003511757,0.002111275,0.1243423],"category_scores_gemma":[0.007677381,0.001063714,0.002251004,0.006137912,0.0005472956,0.001634636,0.002862225,0.002072859,0.1436602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012878,"about_ca_system_score_gemma":0.002860493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245372,"about_ca_topic_score_gemma":0.02541157,"domain_scores_codex":[0.9984056,0.0003176317,0.0002135688,0.0005559264,0.0002955795,0.0002117742],"domain_scores_gemma":[0.9969983,0.001118125,0.0003537272,0.0007186448,0.000469057,0.00034212],"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":[0.0002404245,0.00003361951,0.001614804,0.002364398,0.0001456302,0.00004487664,0.00004634933,0.0004997061,0.0004157416,0.0006802662,0.9895999,0.004314187],"study_design_scores_gemma":[0.0003762644,0.0000396251,0.003517928,0.0005833916,0.0000974512,0.00007604287,0.00006854627,0.0003431267,0.0006995027,0.001901262,0.9922536,0.00004335818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001053993,0.00007124299,0.0001099774,0.00003049814,0.00001336485,0.0000116296,0.998655,0.0006313324,0.0003715656],"genre_scores_gemma":[0.0002904196,0.0000662446,0.0004390731,0.0000588268,0.000004953517,0.00009524714,0.9983492,0.0002887615,0.0004072234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1243423,"threshold_uncertainty_score":0.4159664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121061722088589,"score_gpt":0.282826478283405,"score_spread":0.2516158610625191,"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."}}