{"id":"W6888690739","doi":"10.22008/fk2/cs5lka/roqesg","title":"c50acbw6.rtl","year":2022,"lang":"bpy","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":[0.00095129,0.002551331,0.002157255,0.004473181,0.0008776393,0.003041886,0.003111236,0.002337825,0.2436434],"category_scores_gemma":[0.005573452,0.001250102,0.001199288,0.01052655,0.000496495,0.001544922,0.001808174,0.001903133,0.295926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281846,"about_ca_system_score_gemma":0.002538434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05618976,"about_ca_topic_score_gemma":0.06868502,"domain_scores_codex":[0.9990452,0.0001558438,0.00008579065,0.0003163636,0.0001954346,0.0002014164],"domain_scores_gemma":[0.9979883,0.0005144106,0.0001656517,0.0005109272,0.0005991882,0.0002216331],"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":[0.00002587949,0.00000578109,0.000183544,0.0002793845,0.00001512999,0.000005817609,0.00001001227,0.0001909325,0.00003420761,0.0002417529,0.9982036,0.0008040193],"study_design_scores_gemma":[0.0002193248,0.000009562509,0.002016342,0.0001627475,0.00002356624,0.00002232906,0.00004371971,0.0003395329,0.0001605028,0.0009749868,0.9960033,0.00002419088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002673098,0.00001854108,0.00003119445,0.0000183101,0.000009721176,0.000002824654,0.9992599,0.0002621507,0.0003706279],"genre_scores_gemma":[0.0001725201,0.0000282774,0.0001632375,0.00002079748,0.000005225498,0.00003030553,0.998826,0.0001931017,0.0005605497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7563566,"threshold_uncertainty_score":0.8150682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723147467160219,"score_gpt":0.2790960096048876,"score_spread":0.2318645349332854,"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."}}