{"id":"W6911759366","doi":"10.5281/zenodo.14010021","title":"Oreomecon hultenii Krivenko","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poppy; Copper mine; Crop production; Agriculture","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":[0.0002121567,0.0007283415,0.0006644084,0.002386486,0.002193759,0.001253251,0.0007683818,0.000882672,0.04442224],"category_scores_gemma":[0.0007386457,0.0003558363,0.0002557917,0.001181082,0.0008490179,0.001492565,0.00139577,0.001588085,0.01798861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000849452,"about_ca_system_score_gemma":0.001125474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01750165,"about_ca_topic_score_gemma":0.03112421,"domain_scores_codex":[0.999561,0.00002787761,0.00003081224,0.0001311512,0.0001555848,0.00009342824],"domain_scores_gemma":[0.999754,0.00004004891,0.00006935694,0.00002991722,0.0000797423,0.00002693774],"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":[0.0006411372,0.0001343756,0.008410838,0.001590268,0.0000574535,0.003934822,0.002505448,0.0006423583,0.01508237,0.02550654,0.09322193,0.8482726],"study_design_scores_gemma":[0.00003215436,0.00007469229,0.03020001,0.0007164995,0.000069979,0.006596471,0.0006413283,0.0002173866,0.003336834,0.003209337,0.9548646,0.0000406515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0540826,0.01458153,0.006339957,0.001326622,0.002058773,0.0003951899,0.005337975,0.001177351,0.9147],"genre_scores_gemma":[0.5443066,0.01362094,0.01493767,0.001813356,0.001043252,0.0003660852,0.00714107,0.0009776419,0.4157934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04442224,"threshold_uncertainty_score":0.1486072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720831268658564,"score_gpt":0.2036957043756135,"score_spread":0.1664873916890278,"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."}}