{"id":"W6888791806","doi":"10.22008/fk2/cs5lka/9a8eiq","title":"c50vgbw3.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":[0.001123173,0.004028638,0.002389219,0.00580832,0.0011012,0.003826495,0.004479122,0.003557225,0.1890599],"category_scores_gemma":[0.007025514,0.00127669,0.001889388,0.01208173,0.0006833125,0.00237211,0.002694397,0.0023255,0.292307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550274,"about_ca_system_score_gemma":0.002804319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03891515,"about_ca_topic_score_gemma":0.0512679,"domain_scores_codex":[0.9986094,0.0002025864,0.0001492554,0.0004620185,0.0003003633,0.0002762965],"domain_scores_gemma":[0.9976963,0.0006028336,0.0001592925,0.0007249715,0.000587799,0.0002288493],"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":[0.00002304954,0.000007916625,0.0001508149,0.0003057973,0.00001527845,0.000006772882,0.00001014186,0.0001790018,0.00004279781,0.0001948092,0.9983214,0.0007423157],"study_design_scores_gemma":[0.0002633909,0.00001283866,0.001452263,0.0002125948,0.00003039043,0.00003395607,0.00007145809,0.0005329416,0.0002473951,0.001355376,0.9957545,0.00003299775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002841184,0.00002229754,0.00003460912,0.0000257597,0.0000121047,0.000004130361,0.9989311,0.0005915877,0.0003499684],"genre_scores_gemma":[0.000118874,0.00002656948,0.0001399674,0.00002243783,0.000003744535,0.0000283432,0.9992158,0.0001739162,0.0002703156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8109401,"threshold_uncertainty_score":0.6324683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583481354174288,"score_gpt":0.2246342332957554,"score_spread":0.2087994197540125,"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."}}