{"id":"W2769169031","doi":"10.26202/sylwan.2003953","title":"Strategie redukcji szkód pozyskaniowo−zrywkowych – standaryzacja i klasyfikacja szkód glebowych","year":2003,"lang":"en","type":"article","venue":"Polskie Towarzystwo Leśne","topic":"Agriculture, Plant Science, Crop Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001150769,0.0007241362,0.0006536139,0.00006686847,0.000844406,0.0005655487,0.001277715,0.0003200406,0.00263027],"category_scores_gemma":[0.0001815042,0.000300717,0.0003114573,0.001626019,0.0002897051,0.0006974904,0.0002472518,0.0005180357,0.0008567139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268084,"about_ca_system_score_gemma":0.00008684625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007642478,"about_ca_topic_score_gemma":0.001271917,"domain_scores_codex":[0.9945918,0.0003306693,0.0008089887,0.001358557,0.001300318,0.001609616],"domain_scores_gemma":[0.99818,0.0002365292,0.0003664916,0.0003712433,0.0002363286,0.0006094186],"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":[0.0004349172,0.002977258,0.02651764,0.0002211744,0.000602708,0.0008338479,0.001372647,0.000503856,0.1697945,0.2637987,0.3354006,0.1975421],"study_design_scores_gemma":[0.001207354,0.001191765,0.07760388,0.0001397383,0.0001448759,0.0002395955,0.00327247,0.0001205702,0.01471605,0.01826604,0.8807622,0.002335484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6145585,0.001513988,0.0002175014,0.006025453,0.001719503,0.00178863,0.0004670602,0.0008777687,0.3728317],"genre_scores_gemma":[0.9875334,0.0002732099,0.0008034938,0.000913985,0.0006180882,0.00007605468,0.0002227637,0.000007979369,0.009551018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5453615,"threshold_uncertainty_score":0.9999445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945584449477963,"score_gpt":0.2077578646528218,"score_spread":0.1883020201580422,"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."}}