{"id":"W3154278663","doi":"10.7202/1076237ar","title":"Deep Ecosemiotics: Forest as a Semiotic Model1","year":2021,"lang":"en","type":"article","venue":"Recherches sémiotiques","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Social semiotics; Meaning (existential); Experiential learning; Visual semiotics; Epistemology; Sociology; Semiotics of culture; Computer science; Data science; Philosophy; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001293273,0.0002372793,0.0003314646,0.0001776114,0.0006038409,0.0003260005,0.0004748527,0.0004021388,0.001148757],"category_scores_gemma":[0.004036725,0.0002599827,0.0002997795,0.0005980814,0.0003559697,0.0005567329,0.000146664,0.000651814,0.0004711361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005165875,"about_ca_system_score_gemma":0.0005786705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006931354,"about_ca_topic_score_gemma":0.1958311,"domain_scores_codex":[0.9970058,0.001037567,0.0003737195,0.0004998933,0.0004271575,0.0006559019],"domain_scores_gemma":[0.9973777,0.00116395,0.0001267742,0.0004679241,0.000568885,0.0002947648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001275862,0.001642699,0.04600967,0.0002217858,0.0007666712,0.000457095,0.1127282,0.002631499,0.003884114,0.7906404,0.03187106,0.009019249],"study_design_scores_gemma":[0.0007667002,0.0004261435,0.01665432,0.0005166944,0.000340605,0.0001202021,0.123203,0.006580176,0.0108758,0.7047279,0.1337904,0.001998001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.448476,0.002806129,0.001072647,0.0129279,0.0007348638,0.0004301064,0.000006422067,0.0008368909,0.5327091],"genre_scores_gemma":[0.9641863,0.00241926,0.01565658,0.0007952323,0.0004309362,0.00002554752,0.00001788593,0.00004479643,0.01642346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5162856,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143693240953216,"score_gpt":0.4039957373409041,"score_spread":0.2896264132455825,"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."}}