{"id":"W6954912865","doi":"10.57745/zzvp16","title":"2022-05-25-Diat.barcode-release-version 11.1.tab","year":2022,"lang":"en","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":"Continental (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":[0.001711802,0.003391116,0.002437152,0.003854728,0.001061002,0.00370441,0.004475687,0.003417619,0.1609598],"category_scores_gemma":[0.007321118,0.001471411,0.001998687,0.005399497,0.0006199412,0.002301889,0.002427519,0.002589856,0.301427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863788,"about_ca_system_score_gemma":0.002661454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654983,"about_ca_topic_score_gemma":0.02249285,"domain_scores_codex":[0.9985254,0.0002592513,0.000174163,0.0004943202,0.0002971089,0.0002498139],"domain_scores_gemma":[0.9974927,0.0007441381,0.0002119182,0.0007255206,0.0005523066,0.0002734192],"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":[0.00009749609,0.0000224352,0.0003649,0.0008355384,0.00003489241,0.00001651664,0.00001880286,0.0002225977,0.000223968,0.0004783895,0.9961419,0.001542593],"study_design_scores_gemma":[0.0003917779,0.00002339148,0.001938132,0.0002781488,0.00003535079,0.00005659079,0.00004523453,0.0004133939,0.0008978719,0.001804689,0.9940656,0.0000497903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00004859269,0.00004820194,0.00009507166,0.00003632745,0.00001770514,0.000008831107,0.9980202,0.00124648,0.0004786285],"genre_scores_gemma":[0.0002092081,0.0000416161,0.0003037968,0.0000475123,0.000005142989,0.0000577822,0.9984576,0.0003874237,0.0004900118],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8390403,"threshold_uncertainty_score":0.538464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809262296834566,"score_gpt":0.3489751783214062,"score_spread":0.2908825553530605,"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."}}