{"id":"W4243310148","doi":"10.31227/osf.io/dkg6b","title":"Analisis Risiko Usahatani Padi Sawah Metode System of Rice Intensification (SRI) dan Tanam Benih Langsung (Tabela) di Desa Tonusu Kecamatan Pamona Puselemba","year":2018,"lang":"id","type":"preprint","venue":"","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002423815,0.0009415321,0.001568841,0.00019726,0.0007297754,0.0004902104,0.002408375,0.001101506,0.000849018],"category_scores_gemma":[0.0003835346,0.0004106291,0.0007374721,0.001836039,0.0006310773,0.0003932822,0.001548694,0.001025999,0.0004256627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971767,"about_ca_system_score_gemma":0.0001464089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361611,"about_ca_topic_score_gemma":0.002799714,"domain_scores_codex":[0.9921031,0.001046505,0.001746407,0.001969045,0.001740993,0.001393975],"domain_scores_gemma":[0.9943243,0.0008146034,0.001190752,0.0009157982,0.002050952,0.0007036371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003761003,0.001229873,0.0644575,0.003271927,0.001447276,0.00008354018,0.001417974,0.00002977626,0.8904377,0.0110767,0.01112873,0.01504295],"study_design_scores_gemma":[0.0004995522,0.001009817,0.894548,0.001202358,0.0006182596,0.00008681543,0.0409696,0.003359575,0.04975574,0.0001536617,0.006131586,0.001665039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761045,0.001153939,0.0001557961,0.001584453,0.000740159,0.00150909,0.0005696273,0.0002602808,0.01792218],"genre_scores_gemma":[0.9943106,0.001477111,0.0004079936,0.00008906519,0.0008434884,0.00008439662,0.001204772,0.00001517351,0.001567367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8406819,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228452394543659,"score_gpt":0.2781101136691611,"score_spread":0.2358255897237245,"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."}}