{"id":"W6944794753","doi":"10.22008/fk2/cs5lka/eatcuw","title":"21907.pdf","year":2022,"lang":"en","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":[0.0009711694,0.002008634,0.001515779,0.003600781,0.0006640555,0.004042477,0.002218543,0.001628384,0.3696488],"category_scores_gemma":[0.005942618,0.001185528,0.0008653636,0.01001694,0.0003658109,0.002088916,0.002014666,0.001422073,0.4592954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388054,"about_ca_system_score_gemma":0.001933192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03814681,"about_ca_topic_score_gemma":0.04525904,"domain_scores_codex":[0.9990922,0.0001376265,0.0001143441,0.0002754801,0.0002023915,0.0001779707],"domain_scores_gemma":[0.9976313,0.0006498186,0.0002162936,0.0005173365,0.0007661094,0.0002190545],"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":[0.00002001065,0.000005598533,0.0001619758,0.0002299606,0.000006602821,0.000005148597,0.000009818387,0.00009442022,0.00001992507,0.0003798672,0.9976475,0.001419215],"study_design_scores_gemma":[0.00009340909,0.000006890961,0.001222479,0.0001751041,0.000008446968,0.00001473616,0.00004618185,0.0001212459,0.00008454557,0.0007647028,0.9974491,0.00001310261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002106294,0.00001802096,0.00002886704,0.00002775693,0.00001006035,0.000003030338,0.9984204,0.0001832108,0.001287652],"genre_scores_gemma":[0.0001915767,0.00006018921,0.0001669385,0.00004244144,0.00000820984,0.00003939742,0.9965036,0.000184399,0.002803336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6303512,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03979896086241826,"score_gpt":0.2726438816890804,"score_spread":0.2328449208266621,"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."}}