{"id":"W4320167254","doi":"10.5281/zenodo.7491332","title":"Ekspresowa Analiza Zagrożenia Agrofagiem: Lambdina fiscellaria Guenée, 1858","year":2018,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agriculture, Plant Science, Crop Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002004172,0.0006596196,0.0006415179,0.004388078,0.001224276,0.0008816179,0.0005877379,0.0003379393,0.008327331],"category_scores_gemma":[0.0003513492,0.0001346733,0.0002931587,0.00206948,0.0005395475,0.0007097113,0.0005999188,0.0003547026,0.002438851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008684774,"about_ca_system_score_gemma":0.0003758617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02376998,"about_ca_topic_score_gemma":0.05928243,"domain_scores_codex":[0.9998143,0.00001879656,0.00002001206,0.00007105224,0.00004349496,0.0000322963],"domain_scores_gemma":[0.999891,0.00001610123,0.00003572995,0.000009206573,0.00003477435,0.00001308116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000552633,0.000182342,0.1617819,0.002684592,0.0002252061,0.004090358,0.007916902,0.0009177428,0.02869432,0.003817328,0.01264649,0.7764902],"study_design_scores_gemma":[0.00002161935,0.0001321417,0.6816146,0.0005226666,0.0002014308,0.003556211,0.002829388,0.0004398034,0.00121068,0.0007108075,0.3087333,0.00002733728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543659,0.05876736,0.004764441,0.0005256324,0.0004191183,0.0004508716,0.00887257,0.000848772,0.1709852],"genre_scores_gemma":[0.9638506,0.00769738,0.007381987,0.000168399,0.00008381651,0.00008283971,0.005237456,0.00006470875,0.01543275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02376998,"threshold_uncertainty_score":0.04726326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05656053222081182,"score_gpt":0.2430418305638554,"score_spread":0.1864812983430436,"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."}}