{"id":"W6907753547","doi":"10.22008/fk2/orktcu/hnhfw1","title":"acz.gxf","year":2022,"lang":"pl","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":[0.001150638,0.003916514,0.002263821,0.007858134,0.001059426,0.00478,0.003093531,0.00253959,0.4347895],"category_scores_gemma":[0.007131503,0.001588547,0.001384835,0.01262084,0.000650832,0.00189534,0.002979292,0.001744362,0.5237131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694221,"about_ca_system_score_gemma":0.002825517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04294321,"about_ca_topic_score_gemma":0.05160309,"domain_scores_codex":[0.9988293,0.000176107,0.0001002719,0.0003861271,0.0002459526,0.0002621525],"domain_scores_gemma":[0.9973616,0.0006511539,0.0002649504,0.0006929553,0.0006575307,0.0003718739],"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":[0.00003229133,0.000007819885,0.0002184252,0.0003213136,0.00001379739,0.00000595765,0.00001937726,0.0001840511,0.00003025611,0.000332659,0.9973046,0.001529541],"study_design_scores_gemma":[0.0001970125,0.00001172606,0.001431291,0.0001920368,0.00002215821,0.00001953364,0.00006003005,0.0002683662,0.000121694,0.001357989,0.996293,0.00002526442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002740783,0.00002563961,0.00003466509,0.00002389965,0.0000103454,0.000004235402,0.9987161,0.000363141,0.000794613],"genre_scores_gemma":[0.0002098412,0.0000499242,0.000228606,0.00003584828,0.00000735532,0.00005717553,0.9974511,0.0003145677,0.001645441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5652105,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810590927607061,"score_gpt":0.2788102069664139,"score_spread":0.2307042976903433,"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."}}