{"id":"W4401961901","doi":"10.33772/jc.v5i1.73","title":"PENGARUH KONSENTRASI DAN LAMA PERENDAMAN AIR ACCU TERHADAP RESPON PERTUMBUHAN BIJI MERBAU (Intsia bijuga O.K)","year":2024,"lang":"id","type":"article","venue":"Jurnal Celebica Jurnal Kehutanan Indonesia","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics","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":[0.001275453,0.0007079186,0.0004973637,0.0009641121,0.003162111,0.005152479,0.001014109,0.001416986,0.06614307],"category_scores_gemma":[0.001988175,0.000485696,0.0005380382,0.001461626,0.001307352,0.002228195,0.00300926,0.002025684,0.02007755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532603,"about_ca_system_score_gemma":0.006113118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02579879,"about_ca_topic_score_gemma":0.04778482,"domain_scores_codex":[0.9986437,0.0002169055,0.00008679477,0.0002844672,0.0004568107,0.0003113836],"domain_scores_gemma":[0.9985128,0.00023314,0.0001890757,0.0001291826,0.0006185381,0.0003173935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001339672,0.0007986789,0.05255166,0.003299292,0.0001542594,0.002951984,0.02017827,0.001265661,0.03485775,0.04036095,0.2053648,0.6368769],"study_design_scores_gemma":[0.00002523844,0.0002091723,0.03448654,0.0003844553,0.00006406231,0.0006122236,0.009332735,0.0002489033,0.004627239,0.002686039,0.9472359,0.00008749519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1791994,0.01912563,0.01303599,0.02100936,0.00538359,0.0004925578,0.00457579,0.001403198,0.7557745],"genre_scores_gemma":[0.3493591,0.01030354,0.009084424,0.003380336,0.0004790875,0.0002794189,0.002670635,0.0006103093,0.6238331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06614307,"threshold_uncertainty_score":0.2212706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177167194810329,"score_gpt":0.2616636667620138,"score_spread":0.2439469472809809,"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."}}