{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001623415,0.0006331722,0.0005262052,0.0004883075,0.00680672,0.0008813001,0.003380011,0.0003518117,0.9423195],"category_scores_gemma":[0.0003237434,0.0006710513,0.0002503061,0.001652246,0.0006491889,0.0002859586,0.003538531,0.001332898,0.1309052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113642,"about_ca_system_score_gemma":0.00001514919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002936122,"about_ca_topic_score_gemma":0.000003616026,"domain_scores_codex":[0.9939321,0.0008342371,0.0007449469,0.001672942,0.001650401,0.001165343],"domain_scores_gemma":[0.9973061,0.0000436667,0.0003829068,0.001453733,0.0001215101,0.0006920811],"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":[0.0001271277,0.0009060664,0.00003703193,0.000193118,0.00007445557,0.000154715,0.001174666,0.0004432041,0.003508525,0.0008152648,0.8221747,0.1703911],"study_design_scores_gemma":[0.0007987305,0.0004732966,0.00121316,0.0001084654,0.00006592742,0.0001763778,0.000404876,0.0007100474,0.00009321751,0.00005281294,0.9951465,0.0007565786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00261084,0.0004152858,0.001298703,0.0009142814,0.0005115825,0.001296143,0.001182527,0.001025149,0.9907455],"genre_scores_gemma":[0.1734863,0.001898188,0.0008663784,0.000916469,0.0006482271,5.746681e-7,0.01400649,0.01753734,0.7906401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8114143,"threshold_uncertainty_score":0.9995741,"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."}}