{"id":"W4389562094","doi":"10.7185/gold2023.18019","title":"Ongoing Activities for the Planned Canadian OSIRIS-REx Sample Curation Facility","year":2023,"lang":"en","type":"article","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Osiris; Sample (material); Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01694153,0.001250909,0.00121756,0.004242653,0.00824204,0.003790244,0.006033771,0.00101291,0.05366179],"category_scores_gemma":[0.01268952,0.0006403002,0.001072768,0.005284884,0.001571031,0.002834129,0.004940671,0.002020542,0.01881801],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02733917,"about_ca_system_score_gemma":0.1230926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8793802,"about_ca_topic_score_gemma":0.9152933,"domain_scores_codex":[0.9888544,0.0009841544,0.0001980189,0.0009505212,0.007280126,0.001732798],"domain_scores_gemma":[0.9619705,0.0009155772,0.0005986026,0.002926199,0.02888417,0.004704922],"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":[0.0005595703,0.0002859058,0.01299248,0.0005185848,0.00006206067,0.0002125164,0.001783639,0.001482138,0.02565029,0.00924462,0.7681963,0.179012],"study_design_scores_gemma":[0.00006662549,0.0000702857,0.01530411,0.0001480711,0.00003427749,0.00007251314,0.001067485,0.001959847,0.005674068,0.001294155,0.9742444,0.00006419067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.06475704,0.006049092,0.1682705,0.05384528,0.005268796,0.01131966,0.3954121,0.02669672,0.2683808],"genre_scores_gemma":[0.08405683,0.003639026,0.4380124,0.007857083,0.0006662811,0.004561102,0.323997,0.008404624,0.1288056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9726608,"threshold_uncertainty_score":0.2426603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171881507797142,"score_gpt":0.3687148019681192,"score_spread":0.1968332941709773,"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."}}