{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001391714,0.0007866881,0.001051097,0.002763288,0.001575826,0.002201671,0.002410249,0.0007983769,0.7251949],"category_scores_gemma":[0.01963214,0.000581612,0.0008356105,0.009780352,0.0004139592,0.00176298,0.001207525,0.001128159,0.07978622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006173537,"about_ca_system_score_gemma":0.01132451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7217284,"about_ca_topic_score_gemma":0.7897212,"domain_scores_codex":[0.9993101,0.0000779703,0.00008094651,0.0001184154,0.0002692875,0.0001431923],"domain_scores_gemma":[0.9854542,0.00515037,0.0004432549,0.0009768582,0.007457968,0.0005174321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004191929,0.00001625168,0.001820586,0.0005006753,0.0000173594,0.00002938065,0.00004926043,0.000586247,0.00001765023,0.0006665778,0.9919132,0.004340722],"study_design_scores_gemma":[0.001067527,0.0000247232,0.03109388,0.001590103,0.00006956563,0.0001013527,0.0007005036,0.001927306,0.0002236448,0.005103027,0.9580058,0.00009261174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00009438382,0.00001382965,0.00009540881,0.0001058212,0.00001559367,0.00003176158,0.9978775,0.0001122566,0.001653471],"genre_scores_gemma":[0.007022771,0.0001806811,0.002139692,0.0002027355,0.00004126444,0.0004813971,0.9781432,0.0005885452,0.01119967],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7251949,"threshold_uncertainty_score":0.5598208,"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."}}