{"id":"W2980510941","doi":"","title":"Tolerance of hazelnuts towards unfavorable environmental factors","year":2019,"lang":"en","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental protection; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001845819,0.0004311095,0.0006639693,0.00001692262,0.000215609,0.00003979285,0.0005673156,0.0003051449,0.002255344],"category_scores_gemma":[0.00002908459,0.0001471401,0.0003560163,0.0003665271,0.0001960036,0.0002138757,0.0002606047,0.0002732134,0.0003180632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006257065,"about_ca_system_score_gemma":0.000009558228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002670702,"about_ca_topic_score_gemma":0.0001114306,"domain_scores_codex":[0.9976166,0.00009836452,0.0005039321,0.0006678423,0.00047963,0.0006335882],"domain_scores_gemma":[0.9991375,0.0002035929,0.0002711377,0.0001572273,0.00005212988,0.000178415],"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":[0.00008106746,0.0003386778,0.4443956,0.00001907139,0.00009568598,0.000006173179,0.0003703142,0.00001650192,0.5099359,0.0004281372,0.002648322,0.04166452],"study_design_scores_gemma":[0.0003068436,0.0006369786,0.8802184,0.00004004371,0.00002950175,0.000006405328,0.0009005199,0.00001022822,0.04343804,0.0002135149,0.07370719,0.0004923632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869475,0.001195272,0.000001626378,0.0004296602,0.0003337929,0.0004698703,0.0001322724,0.0001249121,0.01036503],"genre_scores_gemma":[0.9945523,0.0002608991,0.0001113252,0.000196139,0.0002532176,0.00002039807,0.00022418,0.000003100212,0.004378475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4664979,"threshold_uncertainty_score":0.9986567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369898037471947,"score_gpt":0.1727092553617374,"score_spread":0.1633393573242655,"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."}}