{"id":"W2246351938","doi":"","title":"Physical and bioclimatic features of the selected landscapes","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geography; Environmental science; Physical geography","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":[0.0001326073,0.0001444053,0.000266314,0.00164319,0.0005502357,0.0007887915,0.0002086741,0.0002108533,0.002468505],"category_scores_gemma":[0.000420095,0.0001126984,0.0001987436,0.002328752,0.0004181514,0.0001866264,0.0003393094,0.0001064456,0.0003894356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224157,"about_ca_system_score_gemma":0.0001388506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008562406,"about_ca_topic_score_gemma":0.02063841,"domain_scores_codex":[0.9998441,0.00003406251,0.000009149878,0.00004185999,0.00002391971,0.00004688159],"domain_scores_gemma":[0.9996884,0.00005414588,0.00007944347,0.00002310795,0.000075516,0.00007939303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008274844,0.000126456,0.9558812,0.0001535896,0.0002371598,0.0005498966,0.001730824,0.002384305,0.02359281,0.0005073851,0.001036526,0.01297239],"study_design_scores_gemma":[0.000003581168,0.00001130041,0.9992347,0.000001177486,0.000007222749,0.00004700913,0.0001770352,0.0001586994,0.00009678578,0.00002389141,0.0002361364,0.000002612481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978192,0.00008987212,0.0000897945,0.000008841623,0.000001478865,0.000006365073,0.001012258,0.000006927821,0.0009653101],"genre_scores_gemma":[0.9990516,0.00003100202,0.0001072703,0.000002449436,0.00000311761,0.000007244355,0.0005755505,0.000004667504,0.0002171672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008562406,"threshold_uncertainty_score":0.01702517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104300042085496,"score_gpt":0.2043378301681044,"score_spread":0.1939078259595548,"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."}}