{"id":"W6968146497","doi":"10.5281/zenodo.13138657","title":"Global model VenusLithoHeat2024","year":2024,"lang":"en","type":"dataset","venue":"Digital Repository (Polytechnic University of Cartagena)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lithosphere; Column (typography); Venus; Longitude; Internal heating; Latitude; Heat flow","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":[0.0002309161,0.0007763045,0.0006748102,0.0006890696,0.0003935465,0.0007414978,0.001500105,0.0008421246,0.03768562],"category_scores_gemma":[0.0007200172,0.0003922691,0.0008691633,0.001277413,0.0002010099,0.001006444,0.000652475,0.0009838289,0.01503463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008202748,"about_ca_system_score_gemma":0.001209595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05906914,"about_ca_topic_score_gemma":0.04658394,"domain_scores_codex":[0.9998727,0.00002000909,0.000004085773,0.00003177302,0.00003814024,0.00003333565],"domain_scores_gemma":[0.9998072,0.00001694472,0.00001558177,0.00003382292,0.00008161891,0.00004485182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005323426,0.0001066379,0.01148999,0.0005970068,0.0004153245,0.0001349466,0.00008473892,0.1975515,0.001825235,0.006121482,0.7632518,0.01788911],"study_design_scores_gemma":[0.001794213,0.0001152626,0.02931265,0.0002267558,0.0002270445,0.000162618,0.000248874,0.2242701,0.00334451,0.009600287,0.7305357,0.0001620174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05189564,0.001299934,0.005856509,0.001702038,0.0008030938,0.0002187963,0.8211221,0.01223668,0.1048653],"genre_scores_gemma":[0.2130949,0.000834599,0.008730318,0.0006157769,0.0002350456,0.000714091,0.741286,0.006213421,0.02827578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05906914,"threshold_uncertainty_score":0.1260709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008971524798821877,"score_gpt":0.2172569093727438,"score_spread":0.2082853845739219,"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."}}