{"id":"W6907376025","doi":"10.22008/fk2/cs5lka/x8wuxh","title":"c250an.rtl","year":2022,"lang":"gd","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":[0.0009295731,0.002905243,0.002186168,0.004761066,0.0009311301,0.003488256,0.004123203,0.002100961,0.3640903],"category_scores_gemma":[0.005164443,0.001381333,0.001446757,0.01048326,0.0005503246,0.001656431,0.002425679,0.001693784,0.44709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519754,"about_ca_system_score_gemma":0.002647467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05628347,"about_ca_topic_score_gemma":0.08317363,"domain_scores_codex":[0.9990507,0.0001543661,0.00008050258,0.0003202558,0.0001880865,0.000206077],"domain_scores_gemma":[0.9981694,0.0004361254,0.0001385923,0.000550376,0.0005006635,0.0002046671],"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":[0.00001780772,0.000004154758,0.0001018107,0.000226455,0.00001104358,0.000004348423,0.000008999192,0.0001216962,0.0000250618,0.0002394601,0.9985039,0.000735273],"study_design_scores_gemma":[0.0001609711,0.000006551074,0.0008792013,0.0001292517,0.00001706819,0.00001653455,0.00003256323,0.0002005775,0.0001142872,0.0008506859,0.9975731,0.0000192663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002120336,0.00001684968,0.00003749769,0.00002352299,0.00001099854,0.000003746311,0.9986083,0.0004722384,0.0008056184],"genre_scores_gemma":[0.0001600022,0.00003086519,0.0001966604,0.0000326597,0.000005735818,0.00003779685,0.9981135,0.0004298078,0.0009929785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6359097,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04597243419781619,"score_gpt":0.27690914244378,"score_spread":0.2309367082459638,"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."}}