{"id":"W6888771693","doi":"10.22008/fk2/cs5lka/lubue6","title":"w250cnd.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":[0.0009509709,0.002829273,0.002052884,0.004861589,0.000802901,0.00328843,0.004284793,0.002302391,0.2682407],"category_scores_gemma":[0.005523855,0.001264896,0.001485558,0.01048261,0.000559883,0.00176285,0.002142517,0.001895489,0.3394127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252838,"about_ca_system_score_gemma":0.002412917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04946135,"about_ca_topic_score_gemma":0.0748103,"domain_scores_codex":[0.9990801,0.0001473458,0.00008495171,0.000320049,0.000186968,0.0001806734],"domain_scores_gemma":[0.9981336,0.0004821393,0.0001400436,0.0005372728,0.0004998403,0.0002070993],"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":[0.00002045165,0.000005783734,0.0001449458,0.0002289459,0.00001411763,0.000005745454,0.00000814685,0.0001666629,0.00002993578,0.0002244368,0.9984078,0.0007430897],"study_design_scores_gemma":[0.0002459359,0.00001018577,0.001374297,0.0001507203,0.00002630864,0.00002248256,0.00004749391,0.000431782,0.0001729354,0.001089867,0.996403,0.00002496822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003046412,0.00001725372,0.00004334046,0.00002252242,0.00001250376,0.00000364715,0.998943,0.0004191376,0.0005081397],"genre_scores_gemma":[0.0001524596,0.00002427303,0.0001617262,0.0000221096,0.0000053416,0.00003113745,0.9986743,0.0002344188,0.0006943648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7317593,"threshold_uncertainty_score":0.8973544,"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."}}