{"id":"W4388278608","doi":"10.30598/maanuv1i1p53-59","title":"PENINGKATAN EKONOMI MASYARAKAT BERBASIS KELUARGA MELALUI BUDIDAYA HORTIKULTURA DI KECAMATAN TEHORU KABUPATEN MALUKU TENGAH","year":2023,"lang":"en","type":"article","venue":"MAANU Jurnal Pengabdian Kepada Masyarakat","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Livelihood; Agricultural economics; Agricultural science; Quarter (Canadian coin); Business; Economic growth; Geography; Socioeconomics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004129163,0.0009421114,0.0009949179,0.0008314466,0.002945688,0.001815217,0.001869173,0.0005158298,0.001388704],"category_scores_gemma":[0.001597142,0.0009291011,0.0005698093,0.002861351,0.0006346225,0.001973128,0.0007275181,0.001164868,0.002445301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008420211,"about_ca_system_score_gemma":0.0007430647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069645,"about_ca_topic_score_gemma":0.00130906,"domain_scores_codex":[0.9916875,0.0008617878,0.001361516,0.001428194,0.001985584,0.002675402],"domain_scores_gemma":[0.9958031,0.001162591,0.0005705731,0.0008608382,0.0003816312,0.001221236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005809772,0.0002861777,0.7620419,0.0002101834,0.0005254865,0.001704956,0.01763787,0.0001791791,0.001167543,0.01445165,0.1007479,0.1004663],"study_design_scores_gemma":[0.001761041,0.0002168221,0.4967068,0.0004152413,0.0002036352,0.00009274712,0.02877484,0.0006601813,0.000632589,0.001983631,0.4656473,0.002905095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6883616,0.0002906348,0.00002804479,0.005582161,0.001821655,0.0008986538,0.0001006884,0.001256887,0.3016596],"genre_scores_gemma":[0.9778574,0.0006285299,0.0004536833,0.0006006188,0.001487298,0.0001454834,0.0002454589,0.0001799746,0.01840154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648995,"threshold_uncertainty_score":0.9995242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314010211169203,"score_gpt":0.2833452385700157,"score_spread":0.2519442174530954,"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."}}