{"id":"W6907560096","doi":"10.22008/fk2/wp1tr3/xpqazw","title":"wshdgrya4.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":[0.0009562583,0.002961598,0.002106123,0.00441161,0.00081216,0.0030075,0.003611087,0.002438224,0.1834788],"category_scores_gemma":[0.005165773,0.001404097,0.001569677,0.008734842,0.0005093769,0.001870171,0.002254674,0.001918266,0.2382157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268578,"about_ca_system_score_gemma":0.002248066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0422289,"about_ca_topic_score_gemma":0.06122689,"domain_scores_codex":[0.9990062,0.0001820555,0.0001086578,0.0003105439,0.0002008042,0.0001917628],"domain_scores_gemma":[0.9983341,0.0004980393,0.0001383192,0.0004554356,0.0004043017,0.0001699036],"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":[0.00003177794,0.000008217616,0.0002871352,0.0003451467,0.00002087516,0.00001148853,0.0000170696,0.0002593187,0.00003952265,0.000374532,0.9976578,0.0009471254],"study_design_scores_gemma":[0.0002113118,0.00001195917,0.002073809,0.0002153152,0.00002513728,0.0000376471,0.00007958226,0.0004927613,0.0002149377,0.001482332,0.9951248,0.00003042812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000366471,0.00001978426,0.00004123921,0.00002144831,0.00001046646,0.000002830069,0.9991344,0.0003231642,0.0004101793],"genre_scores_gemma":[0.0001595097,0.00002499918,0.0001517804,0.00001769891,0.000003827453,0.00003047378,0.998995,0.0001475684,0.0004689841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8165212,"threshold_uncertainty_score":0.6137978,"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."}}