{"id":"W2372027289","doi":"","title":"Analysis of the Effect of Two Methods to Break the Cotton-seeds Domancy","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Horticulture; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053537,0.000070015,0.0002037198,0.00002229978,0.0001488316,0.00000843227,0.0004383203,0.00003196916,0.0000731289],"category_scores_gemma":[0.0003932332,0.00001527212,0.0002067638,0.002252048,0.0001306085,0.00003452427,0.0001104337,0.00007581742,0.000003977242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001332738,"about_ca_system_score_gemma":0.000005533521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009670362,"about_ca_topic_score_gemma":0.0002512723,"domain_scores_codex":[0.9985664,0.0006633324,0.0001799712,0.000131393,0.0003191821,0.0001397503],"domain_scores_gemma":[0.9983429,0.001300212,0.00009610518,0.0001260067,0.0000963923,0.00003832582],"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":[0.00003413393,0.00001467443,0.2717458,0.000003266028,0.0001216825,2.861452e-7,0.000190517,0.0001405139,0.710598,0.00006986049,0.0001099499,0.01697128],"study_design_scores_gemma":[0.00007624857,0.0001544668,0.8208155,0.000004993912,0.00005638778,8.749279e-7,0.00004549885,0.000260047,0.1780346,0.00003824068,0.0004800436,0.00003305197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973381,0.00004008831,0.00004563869,0.001181598,0.00004666275,0.0002812691,0.00001170124,0.000009709346,0.001045303],"genre_scores_gemma":[0.9992656,0.000005752008,0.0002610184,0.00006130309,0.00003977825,0.00001475387,0.000006047293,4.396138e-7,0.0003453229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5490697,"threshold_uncertainty_score":0.1461876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584310102566213,"score_gpt":0.3516198642780037,"score_spread":0.3157767632523416,"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."}}