{"id":"W6945018191","doi":"10.22008/fk2/cs5lka/vzdfis","title":"c50an1.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001328216,0.004797318,0.002764292,0.006836182,0.001284086,0.0043907,0.004211931,0.003685714,0.3400749],"category_scores_gemma":[0.006621701,0.001403639,0.001874076,0.01004428,0.0008344059,0.001440531,0.00265216,0.001928152,0.4110999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421575,"about_ca_system_score_gemma":0.003143114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03707317,"about_ca_topic_score_gemma":0.05004132,"domain_scores_codex":[0.9987213,0.0002040683,0.00009682429,0.000452013,0.0002563369,0.0002694665],"domain_scores_gemma":[0.9975368,0.0008286578,0.0002288913,0.0006036864,0.000408195,0.0003937087],"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":[0.00005572063,0.00001467709,0.0002969728,0.0006146247,0.000026482,0.00001140157,0.00002498129,0.0003516015,0.0001045629,0.0003167044,0.9967211,0.001461282],"study_design_scores_gemma":[0.000396246,0.00002173328,0.001633468,0.0002325914,0.00004892834,0.00003474691,0.00006589423,0.0005772217,0.0002851996,0.001610983,0.9950455,0.00004735947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000371544,0.00002279538,0.00003839212,0.00001854826,0.000007454942,0.000004880583,0.998976,0.0005196716,0.0003751747],"genre_scores_gemma":[0.0002174855,0.00003386137,0.0002297315,0.00003291369,0.000004659801,0.0000569598,0.9984953,0.0003580071,0.0005710652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6599251,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285462167336764,"score_gpt":0.2446150175222886,"score_spread":0.2160688007886122,"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."}}