{"id":"W6948727551","doi":"10.5063/f1pg1q5s","title":"Designcraft for Experiments: Solo Survey","year":2022,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replicate; Set (abstract data type); Citation; Focus (optics); Work (physics); Data set","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":[],"consensus_categories":[],"category_scores_codex":[0.01989743,0.001558533,0.001247127,0.001258071,0.001126444,0.001807462,0.003003903,0.001569115,0.1371216],"category_scores_gemma":[0.03754551,0.001390096,0.002034913,0.001399251,0.001054024,0.001779088,0.002801382,0.002850811,0.05015747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825635,"about_ca_system_score_gemma":0.003645753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503233,"about_ca_topic_score_gemma":0.007998805,"domain_scores_codex":[0.9905467,0.004408332,0.001066925,0.002014263,0.001478775,0.0004850657],"domain_scores_gemma":[0.9687673,0.01661137,0.001366327,0.01033619,0.002262512,0.0006564296],"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":[0.001559647,0.0007321945,0.004061721,0.003057693,0.0002548227,0.00007918401,0.0005714435,0.001239713,0.002664399,0.005450488,0.9113721,0.06895647],"study_design_scores_gemma":[0.002129727,0.0003516809,0.004040151,0.0004162516,0.0001023765,0.00005075109,0.0001213714,0.001371818,0.002770715,0.005824041,0.9827489,0.00007223414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008578894,0.0004273922,0.1156567,0.001822747,0.001900353,0.03890215,0.7404323,0.05195522,0.04032427],"genre_scores_gemma":[0.0190774,0.0003806519,0.3489414,0.004295652,0.0003065192,0.2966675,0.2832479,0.01880446,0.0282784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1371216,"threshold_uncertainty_score":0.4587176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149581114625759,"score_gpt":0.2569342370314796,"score_spread":0.1419761255689037,"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."}}