{"id":"W6944970271","doi":"10.22008/fk2/cs5lka/lbtnhx","title":"w50acbw4.rtl","year":2022,"lang":"cs","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":[0.001154385,0.003897597,0.002541763,0.005432985,0.001112216,0.004032801,0.004607861,0.003244472,0.2232722],"category_scores_gemma":[0.005373287,0.001363612,0.00174783,0.01053498,0.0006821816,0.001691645,0.002682291,0.002087031,0.3195704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116374,"about_ca_system_score_gemma":0.002277883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158833,"about_ca_topic_score_gemma":0.03306733,"domain_scores_codex":[0.9988691,0.0001903485,0.0001074533,0.0004124901,0.0002030387,0.0002175269],"domain_scores_gemma":[0.9982883,0.000572924,0.0001548924,0.0004632076,0.0003063958,0.0002141667],"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":[0.00005829668,0.00001362379,0.0003143238,0.0007494385,0.00003396345,0.00001344215,0.00002461943,0.0002646074,0.0001544045,0.0003967355,0.9966966,0.0012801],"study_design_scores_gemma":[0.0003512625,0.00001731455,0.001572924,0.0001994829,0.00004730266,0.00003204136,0.00006507144,0.0004320229,0.0003908775,0.001593133,0.9952632,0.00003541744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004350804,0.00002554822,0.00004892244,0.00001933246,0.000007634962,0.000004421425,0.9988177,0.000707004,0.0003258025],"genre_scores_gemma":[0.0002242197,0.00003713856,0.00022616,0.00002765547,0.000003618176,0.00005397448,0.9986815,0.0003375655,0.0004081612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7767277,"threshold_uncertainty_score":0.7469201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282153542906785,"score_gpt":0.2486650084679577,"score_spread":0.2204496541772792,"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."}}