{"id":"W4386867684","doi":"10.33087/jiubj.v23i2.4083","title":"Analisis Faktor-faktor Penentu Keberhasilan Inseminasi Buatan (Ib) Ternak Sapi Potong di Kabupaten Tanjung Jabung Barat","year":2023,"lang":"en","type":"article","venue":"Jurnal Ilmiah Universitas Batanghari Jambi","topic":"Livestock Farming and Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Artificial insemination; Livestock; Agricultural science; Fertility; Engineering; Geography; Socioeconomics; Statistics; Demography; Mathematics; Biology; Economics; Forestry; Population; Sociology","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":[0.0003981677,0.0004284157,0.0004115813,0.0001696827,0.0008486559,0.0003015773,0.001031754,0.000198639,0.0009218023],"category_scores_gemma":[0.00003577408,0.0002307159,0.0003149308,0.001386333,0.0001092725,0.000726365,0.000696781,0.0003678708,0.000411583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400413,"about_ca_system_score_gemma":0.00002890415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002991344,"about_ca_topic_score_gemma":0.0006598356,"domain_scores_codex":[0.9971218,0.0001358303,0.0004219823,0.0007715861,0.0006888436,0.0008599675],"domain_scores_gemma":[0.998786,0.0001483857,0.0002577487,0.0002546705,0.0001265013,0.0004266497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005754727,0.0005846755,0.4185564,0.0001386009,0.0008224059,0.003511808,0.00240964,0.0002050146,0.1539124,0.002891266,0.3520827,0.06430954],"study_design_scores_gemma":[0.0009641835,0.0005971295,0.8410518,0.0001784037,0.0003286782,0.00005175084,0.01399375,0.0007207276,0.001767544,0.0001176698,0.1391677,0.001060664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882863,0.0002588151,0.000008230094,0.001972781,0.0006201161,0.000387151,0.0002778757,0.0004505098,0.007738249],"genre_scores_gemma":[0.9937795,0.0003028287,0.00005377107,0.0002349492,0.0005642927,0.000009035744,0.0005676878,0.000008489155,0.004479385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4224953,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642331704974253,"score_gpt":0.2051660086335632,"score_spread":0.1887426915838206,"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."}}