{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004073582,0.001018432,0.002031001,0.0002176892,0.0007148889,0.0001349701,0.001745703,0.00149164,0.2429847],"category_scores_gemma":[0.002101622,0.0007927555,0.0004055449,0.0007044006,0.001082008,0.00009247439,0.002921359,0.002839262,0.0003432686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006737405,"about_ca_system_score_gemma":0.0002899585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008903481,"about_ca_topic_score_gemma":0.002587084,"domain_scores_codex":[0.9920782,0.001862092,0.001345288,0.001662988,0.001561268,0.001490121],"domain_scores_gemma":[0.9934918,0.003416721,0.0006639312,0.001358222,0.0003291926,0.0007400959],"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":[0.001272654,0.0009758307,0.270786,0.0013272,0.0006044949,0.0006251421,0.00003821185,0.000008677702,0.0001451496,0.00001413079,0.716674,0.007528558],"study_design_scores_gemma":[0.002292674,0.001069835,0.3362552,0.000173105,0.0002365033,0.0001465836,0.0001084288,0.00005030328,0.0001558716,0.0002687012,0.6579379,0.001304904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2234943,0.007618142,0.000005154136,0.0002942784,0.0004204552,0.0003864295,0.7648166,0.00003479925,0.002929813],"genre_scores_gemma":[0.1590905,0.01089752,0.0000434689,0.0002166697,0.0005175381,0.00007425551,0.8189668,0.00006287891,0.01013037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2426414,"threshold_uncertainty_score":0.9998046,"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."}}