{"id":"W6944712958","doi":"10.22008/fk2/cs5lka/v1mpol","title":"w50tf9.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001013962,0.002898365,0.001960885,0.004457165,0.0009034468,0.003146827,0.003556847,0.002614854,0.2935539],"category_scores_gemma":[0.006090709,0.001118337,0.001423548,0.009698931,0.0005267998,0.002131452,0.002398155,0.001840274,0.4012742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150661,"about_ca_system_score_gemma":0.001990373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258157,"about_ca_topic_score_gemma":0.03402447,"domain_scores_codex":[0.998903,0.0001781007,0.0001231085,0.0003625075,0.0002120781,0.0002211857],"domain_scores_gemma":[0.9980291,0.000529077,0.0001655416,0.0006030818,0.0004498222,0.0002233873],"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":[0.00002598781,0.000008485519,0.0001592317,0.0003124347,0.0000126898,0.000006120103,0.0000113827,0.0001274562,0.00005172085,0.0002682489,0.9980806,0.0009356362],"study_design_scores_gemma":[0.000215456,0.0000128418,0.001116724,0.0001502591,0.00001943483,0.00001969122,0.000051425,0.0002437907,0.0001921072,0.001200595,0.9967582,0.00001941599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002245284,0.00001383018,0.00003320936,0.00002396911,0.00001051272,0.000003604104,0.9990903,0.000346669,0.0004554723],"genre_scores_gemma":[0.0001339644,0.00002620964,0.0001326851,0.00002806893,0.000004623507,0.00003457414,0.9989069,0.0001643796,0.0005686683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7064461,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442734986529946,"score_gpt":0.2891876696439005,"score_spread":0.2449141709909059,"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."}}