{"id":"W6945145220","doi":"10.22008/fk2/orktcu/pi5cgc","title":"x12amp.gxf","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":[0.0009486696,0.002993034,0.002582568,0.004245835,0.0009286533,0.003263322,0.003581364,0.002457045,0.3314476],"category_scores_gemma":[0.004971469,0.001417795,0.001284771,0.009677438,0.0005092121,0.002383342,0.002577465,0.00189536,0.3799969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197931,"about_ca_system_score_gemma":0.001771605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03503026,"about_ca_topic_score_gemma":0.05117577,"domain_scores_codex":[0.9990774,0.0001707399,0.00008239767,0.0003369552,0.0001520288,0.0001805061],"domain_scores_gemma":[0.9984325,0.0004923434,0.0001166588,0.0004294705,0.0003607641,0.0001683037],"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":[0.00002159509,0.00000624841,0.0001550425,0.0002972715,0.0000120587,0.000006197538,0.00001611759,0.0001345369,0.00002193215,0.0003180134,0.998073,0.0009380677],"study_design_scores_gemma":[0.0001589696,0.000008516103,0.001154782,0.0001973576,0.00001478405,0.00001901799,0.00005449414,0.0002017067,0.00009917256,0.001183293,0.9968881,0.00001977489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002607565,0.00002697665,0.00003856334,0.0000260245,0.0000136441,0.00000277772,0.9988787,0.0003551121,0.0006321052],"genre_scores_gemma":[0.0001741551,0.00004372102,0.0001874868,0.00002910327,0.00000658147,0.00003917785,0.9982879,0.0002615495,0.0009703828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6685524,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648018866217053,"score_gpt":0.2803783366812528,"score_spread":0.2338981480190823,"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."}}