{"id":"W6950605008","doi":"10.5281/zenodo.6241483","title":"Phytoseiulus macropilis Banks","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amblyseius; Phytoseiidae; SAINT; Duration (music)","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":[0.00008320545,0.0005480296,0.0001624482,0.001313745,0.000738246,0.000225635,0.0002275156,0.0002112955,0.0102586],"category_scores_gemma":[0.0001456391,0.000152508,0.0001309622,0.0005055602,0.0002406479,0.0006101555,0.0005386593,0.0002747665,0.004025819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347656,"about_ca_system_score_gemma":0.0002174246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956206,"about_ca_topic_score_gemma":0.007484642,"domain_scores_codex":[0.9999278,0.000007995869,0.000006264692,0.00002168954,0.00002608997,0.00001014113],"domain_scores_gemma":[0.9999088,0.0000148499,0.00002991487,0.000006812541,0.00002565946,0.00001397112],"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":[0.0006804128,0.0002488822,0.06119384,0.001377054,0.00008138549,0.002396459,0.001885296,0.0006150395,0.2464457,0.002973436,0.02060462,0.661498],"study_design_scores_gemma":[0.0000940492,0.0006230901,0.6686895,0.0003778102,0.000101975,0.007733644,0.000841414,0.0007933567,0.03400147,0.001766828,0.284931,0.00004584327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6685596,0.01232778,0.005930573,0.0005560959,0.0003593119,0.0004340567,0.006982866,0.001621154,0.3032286],"genre_scores_gemma":[0.9522917,0.004122951,0.003234847,0.0005380824,0.0001286468,0.0001330337,0.001911755,0.00004724455,0.0375918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102586,"threshold_uncertainty_score":0.03431839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721612578701012,"score_gpt":0.2339711525780983,"score_spread":0.2167550267910881,"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."}}