{"id":"W6950386512","doi":"10.5281/zenodo.5816932","title":"Wpływ M. oryzae na kiełkowanie nasion wybranych roślin uprawnych","year":2022,"lang":"pl","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Nasion; Bran; Qualitative analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0002550711,0.0009147827,0.0009038136,0.0009070141,0.0008743102,0.001336237,0.0004531075,0.0005672525,0.00514126],"category_scores_gemma":[0.0003029867,0.0003661015,0.0006144063,0.001027085,0.0005889893,0.001215849,0.001324258,0.001387709,0.002129562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117289,"about_ca_system_score_gemma":0.0008483241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937092,"about_ca_topic_score_gemma":0.003831533,"domain_scores_codex":[0.9994325,0.00003974417,0.00005798674,0.0001727699,0.0001737431,0.0001232322],"domain_scores_gemma":[0.9997627,0.00002313035,0.00006950441,0.00002754262,0.00007324799,0.00004383061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006424938,0.0001104592,0.003634087,0.0004751625,0.00003020425,0.0004665236,0.0005226105,0.0001533177,0.977437,0.0005489571,0.0006502424,0.01532901],"study_design_scores_gemma":[0.0000701579,0.002742711,0.1060778,0.0003221762,0.0003413656,0.002825183,0.004192715,0.001080533,0.7804224,0.001616393,0.1001732,0.0001354285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9450064,0.01305454,0.01359848,0.001242368,0.0007536902,0.0005250177,0.004757571,0.0006321892,0.02042966],"genre_scores_gemma":[0.9232066,0.00731039,0.02122102,0.0007607021,0.0001326981,0.0004248455,0.005092584,0.0001785342,0.04167253],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00514126,"threshold_uncertainty_score":0.01719922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143352342181607,"score_gpt":0.2228508857065216,"score_spread":0.2014173622847055,"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."}}