{"id":"W6955196790","doi":"10.57745/oo3vye","title":"2010-EGG-EST-0402-Lohmus.ogg","year":2025,"lang":"fr","type":"dataset","venue":"Recherche Data Gouv France","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eston College","funders":"","keywords":"Product (mathematics); Process (computing); Identification (biology)","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":[0.002621988,0.003630363,0.002215851,0.005180389,0.0009673651,0.004840113,0.003507936,0.002814315,0.149328],"category_scores_gemma":[0.0110641,0.0009537257,0.002012602,0.005365657,0.000681089,0.002247358,0.003462428,0.00200058,0.276065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480462,"about_ca_system_score_gemma":0.003284533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768476,"about_ca_topic_score_gemma":0.02201986,"domain_scores_codex":[0.9977565,0.0004201296,0.0002171301,0.0007741462,0.0005266938,0.0003052887],"domain_scores_gemma":[0.996608,0.0008101024,0.0002646532,0.001201353,0.0007012189,0.0004146043],"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":[0.000100947,0.00001816308,0.0004112801,0.0003853794,0.00004357695,0.00002011187,0.00002082737,0.0002420562,0.0002238799,0.0004932224,0.9946501,0.003390399],"study_design_scores_gemma":[0.0003530089,0.00001936106,0.00241267,0.000209418,0.00003235776,0.00006198471,0.00006525311,0.0006999325,0.0005783159,0.001717174,0.9938115,0.00003905719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000119671,0.00005710178,0.0002248238,0.0001136657,0.00004795382,0.00001139266,0.9967195,0.002016395,0.0006893586],"genre_scores_gemma":[0.000323577,0.00003967042,0.000546498,0.00004217634,0.00001020533,0.00005754337,0.9975932,0.0004467471,0.0009403565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850672,"threshold_uncertainty_score":0.4995519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08236052237272772,"score_gpt":0.3789720650960259,"score_spread":0.2966115427232982,"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."}}