{"id":"W6945195817","doi":"10.22008/fk2/wp1tr3/hwxnxp","title":"c50tf6.rtl","year":2021,"lang":"bpy","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.001147379,0.003596361,0.002707514,0.004969056,0.001178944,0.003479654,0.004555631,0.003162413,0.2571239],"category_scores_gemma":[0.005901601,0.00120397,0.001362045,0.008578645,0.0006887699,0.002096932,0.002745857,0.001955858,0.3837724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304436,"about_ca_system_score_gemma":0.002128356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037285,"about_ca_topic_score_gemma":0.03040583,"domain_scores_codex":[0.9987601,0.000199949,0.0001001791,0.0004561726,0.0002358996,0.0002477749],"domain_scores_gemma":[0.9980029,0.0005365919,0.0001676317,0.0006165677,0.0004018692,0.0002744247],"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":[0.00004474997,0.00001162299,0.0001821262,0.0004247173,0.00001638433,0.000007888721,0.00001407382,0.0001534371,0.00008391436,0.0002810968,0.9976452,0.001134817],"study_design_scores_gemma":[0.0002773381,0.00001639653,0.001232737,0.0001880726,0.00002189923,0.00003238704,0.00004779288,0.0004171574,0.0003235002,0.001203593,0.996209,0.00003010909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003459114,0.00002547535,0.00004511324,0.00001948403,0.000009650035,0.00000467249,0.9986112,0.0008121697,0.0004376725],"genre_scores_gemma":[0.0001784447,0.00002469169,0.0001753464,0.00002311426,0.000004582984,0.00004054528,0.9988042,0.0003332228,0.0004157695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7428761,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849920589638686,"score_gpt":0.2717620977215078,"score_spread":0.2532628918251209,"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."}}