{"id":"W4238754248","doi":"10.31237/osf.io/rkbef","title":"SEBARAN HABITAT ANGGREK ALAM DI TAMAN NASIONAL LORE LINDU","year":2021,"lang":"id","type":"preprint","venue":"","topic":"Forest Ecology and Conservation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Biology; Horticulture; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004061911,0.0005122757,0.0005716583,0.00002747747,0.0006415152,0.0002810158,0.0006693199,0.001237018,0.009092668],"category_scores_gemma":[0.0001620164,0.0002236925,0.0004767978,0.0003361441,0.0003538341,0.0002104894,0.0008061427,0.0009465527,0.0006491572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007093378,"about_ca_system_score_gemma":0.0001386963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006731583,"about_ca_topic_score_gemma":0.01907859,"domain_scores_codex":[0.996942,0.000318921,0.0006078482,0.001123669,0.0003973402,0.0006102008],"domain_scores_gemma":[0.9985258,0.0003799133,0.0002938258,0.0002086663,0.0003492226,0.0002425668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000220985,0.001256451,0.913968,0.0001821482,0.000373692,0.0002743884,0.0006050383,0.0001547149,0.01987767,0.008830135,0.01554437,0.03871245],"study_design_scores_gemma":[0.0002189165,0.0003252115,0.9812933,0.0001602686,0.00005946603,0.00003178419,0.0009669576,0.0004675011,0.000906393,0.001606155,0.01337634,0.0005876992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741272,0.0005618839,0.0000147738,0.01638108,0.001800911,0.0004526749,0.00004632777,0.0001167079,0.006498414],"genre_scores_gemma":[0.9653381,0.0003900964,0.0002116413,0.002299669,0.0008478591,0.00007797124,0.002382014,0.00000367969,0.02844898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06732534,"threshold_uncertainty_score":0.9988207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500308595899957,"score_gpt":0.2253986562778527,"score_spread":0.2003955703188532,"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."}}