{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734146,0.0004767842,0.0004463162,0.001882503,0.001913532,0.005340289,0.0006668726,0.001279159,0.003223707],"category_scores_gemma":[0.002259306,0.0002063587,0.0006230319,0.001563983,0.01592035,0.008731857,0.002725596,0.001722055,0.0005830075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756155,"about_ca_system_score_gemma":0.001032126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757483,"about_ca_topic_score_gemma":0.00184892,"domain_scores_codex":[0.9983159,0.001116303,0.00005334668,0.0002025767,0.0002043991,0.0001074218],"domain_scores_gemma":[0.9981208,0.001093614,0.000166207,0.0002991101,0.0001772598,0.0001428888],"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":[0.000004210553,0.000002529595,0.0001248921,0.00001723417,0.000001940579,0.00003856879,0.001228691,0.0004904263,0.00009448486,0.995353,0.0003112194,0.002332861],"study_design_scores_gemma":[0.000002343726,0.000006519135,0.0001162103,0.00002196104,0.000002332179,0.000109084,0.0008036654,0.00310799,0.0001067768,0.9799548,0.01576326,0.000005055188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05640376,0.005558581,0.6919179,0.008202325,0.0004214771,0.00008625553,0.0002319594,0.0002442473,0.2369335],"genre_scores_gemma":[0.9276652,0.001252643,0.06184504,0.0003225272,0.000139599,0.0001004089,0.0001208814,0.00007352381,0.008480191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005340289,"threshold_uncertainty_score":0.01274192,"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."}}