{"id":"W6977411158","doi":"10.6084/m9.figshare.11742084","title":"Additional file 2 of Geothermal resource assessment of remote sedimentary basins with sparse data: lessons learned from Anticosti Island, Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geothermal gradient; Resource (disambiguation); Sedimentary basin; Sedimentary rock; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001324757,0.0001388863,0.0002338957,0.00001733839,0.00005720946,0.00001106304,0.0003866061,0.00005110166,0.9595652],"category_scores_gemma":[0.000147778,0.0001238544,0.00003324454,0.000152656,0.0000134838,0.00007532461,0.0001455317,0.0001196201,0.0000840764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205913,"about_ca_system_score_gemma":0.0005347644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3367991,"about_ca_topic_score_gemma":0.3642813,"domain_scores_codex":[0.9988985,0.00004134984,0.0002508892,0.0003230352,0.0003267304,0.0001594961],"domain_scores_gemma":[0.9986718,0.0003900509,0.0002524047,0.0005038547,0.00007213944,0.0001097883],"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":[0.00001353468,0.00002688209,0.000004313665,0.00003999675,0.0000755464,0.00001049872,0.00002261155,0.006462612,0.00007938666,0.0000337998,0.9916947,0.001536148],"study_design_scores_gemma":[0.0002624012,0.00003153826,0.003146918,0.0007362701,0.00001510826,0.000001908404,0.0001032094,0.01917632,0.0001686004,0.000005768564,0.9762194,0.000132539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002369513,0.00001443588,0.000008951026,0.0009442252,0.000006643483,0.00009453462,0.9893105,0.00002131527,0.009362442],"genre_scores_gemma":[0.03019173,4.156493e-7,0.001689834,0.0005931815,0.0001699982,0.00005753028,0.9667758,0.00003021624,0.0004913519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9594812,"threshold_uncertainty_score":0.6676171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07317823472527342,"score_gpt":0.2592834418920514,"score_spread":0.186105207166778,"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."}}