{"id":"W6888840266","doi":"10.22008/fk2/cs5lka/icyugb","title":"c50acbw5.rtl","year":2022,"lang":"cs","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":[0.001014086,0.0029258,0.002028043,0.00552462,0.00098658,0.00332416,0.004042602,0.002880757,0.2593486],"category_scores_gemma":[0.006608709,0.001145363,0.00149035,0.01212598,0.0005906335,0.001761472,0.001989041,0.002022862,0.2979963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176679,"about_ca_system_score_gemma":0.003197226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07396502,"about_ca_topic_score_gemma":0.09460314,"domain_scores_codex":[0.9988877,0.0001803101,0.000107634,0.0003618454,0.0002277171,0.00023482],"domain_scores_gemma":[0.9973406,0.000751147,0.000172254,0.0006834643,0.0007925527,0.0002599437],"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":[0.00002245175,0.00000507922,0.0001329577,0.0002624629,0.00001219459,0.000005007679,0.000007877246,0.0001727839,0.00002837298,0.0002451386,0.9985206,0.0005852382],"study_design_scores_gemma":[0.0002205686,0.000009580797,0.00137704,0.0001892395,0.00002553674,0.00002292543,0.00005024452,0.0004083388,0.0001798224,0.001188512,0.9963012,0.00002712133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000249774,0.00001933383,0.00002965566,0.00002178745,0.000009786704,0.0000031706,0.9992098,0.0002838405,0.0003976058],"genre_scores_gemma":[0.0001520934,0.00002596337,0.0001369284,0.00002400416,0.000004034252,0.00002739816,0.9990057,0.0001650594,0.0004587804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7406514,"threshold_uncertainty_score":0.8676074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}