{"id":"W2982226802","doi":"10.4095/291488","title":"Geothermal energy resource potential of Canada","year":2012,"lang":"en","type":"report","venue":"","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geothermal gradient; Geothermal energy; Resource (disambiguation); Earth science; Geology; Environmental science; Computer science; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271162,0.0002915379,0.0002100194,0.002375218,0.003637913,0.004197071,0.0007028767,0.0003409508,0.01279069],"category_scores_gemma":[0.0007841483,0.000162521,0.0003143208,0.004217698,0.0006307876,0.0007513715,0.0007544509,0.0005706028,0.0009423709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05758448,"about_ca_system_score_gemma":0.09911096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940257,"about_ca_topic_score_gemma":0.9980949,"domain_scores_codex":[0.9990884,0.00002685383,0.00001815511,0.0000485823,0.0005791741,0.0002388508],"domain_scores_gemma":[0.9987613,0.00004015573,0.00003387989,0.0000181647,0.0009600033,0.0001864359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003042137,0.0001016325,0.1255069,0.001764644,0.0002217526,0.001928986,0.003766871,0.008384707,0.005949632,0.162659,0.3302603,0.3591513],"study_design_scores_gemma":[0.00002037369,0.00003837674,0.1255651,0.0005579426,0.00006018262,0.0004628772,0.006157751,0.00246961,0.001776717,0.005675616,0.8570988,0.0001165119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1655922,0.01823267,0.002419997,0.0104793,0.0001811529,0.0001830216,0.0444962,0.0003678245,0.7580476],"genre_scores_gemma":[0.8743193,0.014188,0.003811412,0.001039298,0.00002430528,0.00005372431,0.009794516,0.0000891487,0.09668043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05758448,"threshold_uncertainty_score":0.4178066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562534946795597,"score_gpt":0.2133063092119962,"score_spread":0.1976809597440402,"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."}}