{"id":"W6892503979","doi":"10.5281/zenodo.10820036","title":"KARTOSHKA KUYASINING BIOEKOLOGIYASINI O'RGANISH ASOSIDA FENOLOGIK JADVALINI TUZISH","year":2024,"lang":"uz","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada","funders":"","keywords":"Work (physics); Identification (biology); Process (computing); Product (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002864729,0.0003560093,0.0003455086,0.0005482349,0.007642508,0.004116187,0.001533873,0.0002788421,0.1168202],"category_scores_gemma":[0.003685196,0.0003743392,0.000148499,0.003058022,0.001228069,0.0006976544,0.001210156,0.0007956829,0.01294697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776752,"about_ca_system_score_gemma":0.00005478933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003715806,"about_ca_topic_score_gemma":0.00002667922,"domain_scores_codex":[0.9954134,0.001191228,0.0006692483,0.0009969829,0.0008102659,0.0009189171],"domain_scores_gemma":[0.9974507,0.0002052591,0.0002160651,0.0005822654,0.001273155,0.0002725599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002839239,0.000242018,0.00003436732,0.0002156529,0.0002465314,0.00005465878,0.05710374,0.00000945049,0.001085263,0.05851553,0.627591,0.2548734],"study_design_scores_gemma":[0.000251876,0.0002519227,0.0008742725,0.0001842991,0.00006151776,0.00004932136,0.0364471,0.00008486468,0.0002173453,0.0006492739,0.9605176,0.0004106126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05750212,0.006627309,0.001539726,0.03084896,0.004748615,0.001257452,0.0006163875,0.005207864,0.8916516],"genre_scores_gemma":[0.9754116,0.002631366,0.0004089356,0.0009146213,0.00207452,2.070227e-7,0.001282923,0.001582518,0.01569334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9179094,"threshold_uncertainty_score":0.9998708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682230584274966,"score_gpt":0.3440472278847483,"score_spread":0.2672249220419987,"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."}}