{"id":"W4229595229","doi":"10.4000/vertigo.18996","title":"Terrains | 2018","year":2018,"lang":"en","type":"paratext","venue":"VertigO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Terrain; Environmental science; Geography; Computer science; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007086216,0.00135491,0.0008541193,0.002028921,0.00182272,0.01012299,0.001703067,0.002153252,0.7903747],"category_scores_gemma":[0.003315822,0.0004604755,0.0006618677,0.001472882,0.0008788133,0.004169149,0.003881599,0.002179905,0.825114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121264,"about_ca_system_score_gemma":0.001454469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004493695,"about_ca_topic_score_gemma":0.008374096,"domain_scores_codex":[0.9992818,0.00009119646,0.00003148442,0.0001141744,0.0003229993,0.0001584675],"domain_scores_gemma":[0.9987416,0.0001391928,0.00004404467,0.000228469,0.0004169335,0.0004298527],"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":[0.00005805808,0.00002596033,0.00007475188,0.0001015233,0.000003404105,0.00003723393,0.00003255093,0.00009883918,0.0002356716,0.004022483,0.9518853,0.0434241],"study_design_scores_gemma":[0.00001515469,0.00001044447,0.0001374112,0.00006653408,0.000002166779,0.00002742255,0.00003275439,0.0001969512,0.0001814529,0.002522181,0.9968007,0.000006823734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006595891,0.0009094086,0.003542061,0.002092012,0.004570527,0.000146311,0.02499242,0.01696821,0.9461194],"genre_scores_gemma":[0.002049161,0.0005774769,0.0008121625,0.0002863859,0.000333168,0.00006634909,0.01048208,0.002541759,0.9828514],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2096253,"threshold_uncertainty_score":0.299005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279983340786038,"score_gpt":0.2869734147803169,"score_spread":0.2589750807017131,"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."}}