{"id":"W2160722671","doi":"10.1109/oceans.1989.587127","title":"A High Resolution Geothermal Heat Probe","year":2005,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CMC Microsystems (Canada)","funders":"","keywords":"Geothermal gradient; High resolution; Resolution (logic); Geology; Computer science; Remote sensing; Geophysics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002883578,0.0002506963,0.0005305308,0.0002260482,0.0003393788,0.0005464022,0.0007711257,0.0007617907,0.004448663],"category_scores_gemma":[0.0005890168,0.0004299687,0.000186877,0.0003687657,0.0003502558,0.0008395487,0.0007664381,0.000581116,0.001036435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355287,"about_ca_system_score_gemma":0.0006527173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007150406,"about_ca_topic_score_gemma":0.001279337,"domain_scores_codex":[0.9996541,0.00003988562,0.000007745481,0.00007552572,0.0001934157,0.00002939723],"domain_scores_gemma":[0.9996895,0.00009893371,0.00002528893,0.00009839173,0.00005723731,0.00003072037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000366955,0.00009739535,0.002141374,0.0001194226,0.00002350016,0.0001008626,0.00009030855,0.01110234,0.919269,0.003392184,0.00391007,0.0593866],"study_design_scores_gemma":[0.0001535843,0.0006699522,0.01072197,0.00001318798,0.00004165642,0.0005614121,0.00006807494,0.2885476,0.6631845,0.001136102,0.03477779,0.0001240716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2220098,0.0004157674,0.7548998,0.0006811543,0.0002143611,0.000249721,0.001708652,0.007210712,0.01261002],"genre_scores_gemma":[0.63629,0.000120319,0.354075,0.0001794602,0.00005872581,0.0001625717,0.0006920935,0.000227333,0.008194575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004448663,"threshold_uncertainty_score":0.01488221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006963435572031276,"score_gpt":0.1890569952464302,"score_spread":0.1820935596743989,"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."}}