{"id":"W4285220377","doi":"10.1007/978-3-030-97683-5_21","title":"Adventure in Extremadura","year":2022,"lang":"nl","type":"book-chapter","venue":"","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Foundation of Stars","funders":"","keywords":"Adventure; Forestry; Environmental science; Geography; Computer science; Artificial intelligence","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":[0.00009056502,0.0004230122,0.0001533976,0.0006921333,0.001788564,0.001627575,0.0003936024,0.0005825507,0.06566402],"category_scores_gemma":[0.00009902545,0.0001462168,0.0001673664,0.0006980361,0.0005223072,0.000703513,0.0008940949,0.0008666579,0.00949223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116487,"about_ca_system_score_gemma":0.0005813285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095164,"about_ca_topic_score_gemma":0.06780403,"domain_scores_codex":[0.9999485,0.00001294312,0.000001597829,0.0000097869,0.00001008992,0.00001702738],"domain_scores_gemma":[0.9999745,0.000005049183,0.000002445601,0.000002265861,0.000003471484,0.00001225003],"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":[0.0001053238,0.0001304217,0.001242442,0.0004539737,0.00001091401,0.0005533056,0.006375297,0.0002044359,0.0009879499,0.1361941,0.4785601,0.3751818],"study_design_scores_gemma":[0.000001952241,0.00000965353,0.002418321,0.0001461295,0.000002889741,0.00008051558,0.0006217213,0.00001838423,0.00004678836,0.001082351,0.9955689,0.000002245961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004682785,0.01735965,0.0001767853,0.001109892,0.0008414777,0.0000156739,0.00007914633,0.00005217612,0.9756824],"genre_scores_gemma":[0.02570484,0.01088462,0.0006163516,0.0004158364,0.000320679,0.00002489773,0.000158943,0.00004668488,0.961827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06566402,"threshold_uncertainty_score":0.219668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207126630617733,"score_gpt":0.2896690564855592,"score_spread":0.2575977901793818,"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."}}