{"id":"W6963599310","doi":"10.22008/fk2/wp1tr3/ktjxxs","title":"w50ac9.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.0008746522,0.002689928,0.002108272,0.004212043,0.0007224301,0.002847382,0.003517261,0.002223626,0.2398395],"category_scores_gemma":[0.005093512,0.00128519,0.001224032,0.009856807,0.0004450268,0.002150645,0.001917711,0.001891639,0.2989474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156924,"about_ca_system_score_gemma":0.001929874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04891137,"about_ca_topic_score_gemma":0.06718295,"domain_scores_codex":[0.9991065,0.0001550291,0.00009926158,0.0002752025,0.0001756943,0.0001883693],"domain_scores_gemma":[0.9983749,0.0004171119,0.0001458426,0.0004341443,0.0004600633,0.0001678459],"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":[0.00002197717,0.000005930179,0.0001692861,0.0002560455,0.00001355423,0.000006222661,0.00001026679,0.0001823718,0.00002521724,0.0003182951,0.9981493,0.0008415432],"study_design_scores_gemma":[0.0001881192,0.000009322683,0.001401833,0.0002076141,0.00001739628,0.00002120652,0.00005701454,0.0003663776,0.0001423686,0.001436768,0.9961292,0.00002282062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002492214,0.00001925661,0.00003792391,0.0000213124,0.00001278726,0.000002571959,0.9991461,0.0002395818,0.0004955633],"genre_scores_gemma":[0.0001556573,0.00003016456,0.000145622,0.00002213366,0.000005267171,0.00003122108,0.998688,0.0001677551,0.0007541486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7601604,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}