{"id":"W6907560997","doi":"10.22008/fk2/cs5lka/iaodqn","title":"chriscnd.gsf","year":2022,"lang":"en","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":["insufficient_payload"],"category_scores_codex":[0.001087836,0.003523067,0.002145679,0.006745207,0.0009657687,0.003845162,0.00336363,0.002513847,0.337487],"category_scores_gemma":[0.006175664,0.00142935,0.001478274,0.01134771,0.0005874439,0.00183256,0.002280695,0.001845033,0.3734858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807678,"about_ca_system_score_gemma":0.003286225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07572082,"about_ca_topic_score_gemma":0.1148783,"domain_scores_codex":[0.9989135,0.0001682102,0.00009272589,0.0003206812,0.0002580622,0.0002467635],"domain_scores_gemma":[0.9973767,0.00071213,0.0002036731,0.0006869347,0.0006847469,0.0003358368],"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":[0.0000218269,0.000005485746,0.0001462713,0.0002815154,0.00001125655,0.000006082102,0.0000155727,0.0002148468,0.00002712984,0.0003289491,0.9979101,0.001030875],"study_design_scores_gemma":[0.0001291566,0.000005621087,0.0008683312,0.0001747329,0.0000181633,0.00001699615,0.00005184963,0.0002991273,0.0001201693,0.001209055,0.9970842,0.00002269668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002902567,0.00002635871,0.00004544592,0.00002412752,0.00001160124,0.00000368541,0.9984951,0.0003989598,0.0009656798],"genre_scores_gemma":[0.0001724069,0.00004446537,0.0002748821,0.00002830038,0.000004436336,0.00003969198,0.9978489,0.0003143572,0.001272554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.662513,"threshold_uncertainty_score":0.9449943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204382823273529,"score_gpt":0.2764550785545963,"score_spread":0.2344112503218611,"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."}}