{"id":"W6963469791","doi":"10.22008/fk2/cs5lka/rpso7l","title":"c50ac1.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":[0.001092934,0.003263549,0.002271225,0.005406495,0.001050428,0.003500726,0.004244416,0.003110409,0.3164315],"category_scores_gemma":[0.006873842,0.001262955,0.001786242,0.0106022,0.0006045887,0.001724481,0.002156455,0.002201074,0.350582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747634,"about_ca_system_score_gemma":0.003313029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07054831,"about_ca_topic_score_gemma":0.09908382,"domain_scores_codex":[0.9988444,0.0001893699,0.0001104423,0.0003554209,0.0002434943,0.0002568195],"domain_scores_gemma":[0.9970407,0.0009214269,0.0001851047,0.0007492759,0.0008135617,0.0002898971],"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":[0.00002411361,0.000005744756,0.0001280945,0.0002732815,0.00001281028,0.000005248318,0.000007913123,0.0001776971,0.00002857324,0.0002338006,0.9985176,0.000585282],"study_design_scores_gemma":[0.0003194342,0.0000124896,0.001494916,0.0002247475,0.00003159888,0.00002686838,0.00005115907,0.0004825448,0.000191032,0.001334111,0.9957982,0.0000329813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000203016,0.00001515031,0.00002725174,0.00002111635,0.00001018703,0.00000316049,0.9992126,0.0002969852,0.0003932581],"genre_scores_gemma":[0.0001356764,0.00002388077,0.0001427633,0.00002561559,0.000004550511,0.0000282353,0.9989429,0.0001928944,0.0005033979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6835685,"threshold_uncertainty_score":0,"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."}}