{"id":"W6955488616","doi":"10.58079/rj4v","title":"Same players shoots again","year":2022,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shoot; Cultivar; Greenhouse; Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007878204,0.0002261431,0.0003799394,0.0004964176,0.0006375728,0.00004134613,0.0005073605,0.0001846553,0.003868499],"category_scores_gemma":[0.0004467528,0.000207354,0.0001697019,0.001727275,0.000289492,0.0002258534,0.0002846941,0.001338606,0.00009049212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008340131,"about_ca_system_score_gemma":0.0007785935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007307541,"about_ca_topic_score_gemma":0.00003527631,"domain_scores_codex":[0.9971011,0.0001740913,0.0002175992,0.0005137074,0.001214392,0.0007791597],"domain_scores_gemma":[0.9984526,0.0001433993,0.0001075641,0.0004297181,0.0001442375,0.0007224605],"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":[0.001405969,0.0006799116,0.01377728,0.00007266499,0.0003886014,0.005564886,0.01055738,0.000469933,0.124127,0.005736401,0.7943687,0.04285127],"study_design_scores_gemma":[0.01400134,0.002142388,0.3013577,0.0001684095,0.0003200437,0.002217992,0.1054489,0.001796159,0.006949315,0.00011722,0.5646438,0.0008366738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911108,0.000217399,0.00006921133,0.03444664,0.0004884502,0.0007167478,0.00007557343,0.00022046,0.07265475],"genre_scores_gemma":[0.9145894,0.0000325429,0.0001659771,0.003448579,0.0003588561,0.00002655958,0.0001331937,0.00002717271,0.08121768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875804,"threshold_uncertainty_score":0.9970421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079986316256282,"score_gpt":0.2945662142223694,"score_spread":0.2437663510598066,"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."}}