{"id":"W6968430154","doi":"10.5281/zenodo.14609309","title":"Eight things we learned in Costa Rica","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany and Geology in Latin America and Caribbean","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; UK Research and Innovation","keywords":"Thriving; Tiger; Natural (archaeology); Life history; White (mutation); Whip (tree); Variety (cybernetics)","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":[0.002197108,0.0005787494,0.0005758846,0.0008552216,0.006993532,0.006275868,0.001141424,0.002586807,0.03387487],"category_scores_gemma":[0.003572907,0.000249802,0.0004551536,0.0009990542,0.002286162,0.003099381,0.004743122,0.00642979,0.007522608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006017207,"about_ca_system_score_gemma":0.009037298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07136431,"about_ca_topic_score_gemma":0.1782094,"domain_scores_codex":[0.9985215,0.000496483,0.00005932246,0.0001987286,0.0003266995,0.0003972656],"domain_scores_gemma":[0.9959853,0.0002155585,0.0001168212,0.0001571611,0.0008101832,0.002714914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003027878,0.0001025624,0.003087606,0.0003255992,0.00001141174,0.0008274749,0.01234009,0.00006384115,0.0005562356,0.004759612,0.895115,0.08278027],"study_design_scores_gemma":[0.000005065605,0.00001524256,0.004923273,0.0002851695,0.000003498884,0.000217976,0.01399578,0.00002744092,0.00009624318,0.0008188444,0.9795965,0.00001497485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02233591,0.04860271,0.0006669908,0.7557734,0.04413662,0.00009722366,0.001039225,0.0004356874,0.1269122],"genre_scores_gemma":[0.1648551,0.03430081,0.002667661,0.265272,0.01409712,0.000217648,0.001155169,0.0005826651,0.5168519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07136431,"threshold_uncertainty_score":0.1418979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352436669676736,"score_gpt":0.2342708681962221,"score_spread":0.2107465014994548,"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."}}