{"id":"W2603170238","doi":"","title":"TOP 50 – Las 50 plantas más amenazadas de Cuba","year":2017,"lang":"es","type":"article","venue":"Anales de la Academia de Ciencias de Cuba","topic":"Plant and soil sciences","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003597938,0.0005282963,0.0005904059,0.00008536401,0.002342716,0.001624905,0.003625406,0.001678131,0.0003580076],"category_scores_gemma":[0.001226867,0.0002826857,0.0003478994,0.0004119661,0.001489109,0.0007940632,0.0005118033,0.001789933,0.0002037244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416624,"about_ca_system_score_gemma":0.0004621006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004005485,"about_ca_topic_score_gemma":0.001323784,"domain_scores_codex":[0.9950491,0.0006079749,0.0005372168,0.0009200439,0.0007763614,0.002109356],"domain_scores_gemma":[0.9968671,0.001199391,0.0005660604,0.0003388394,0.00007774381,0.0009509029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009306384,0.0001540252,0.8011089,0.00005445433,0.0000649065,0.0003491038,0.001564508,0.00008076134,0.1328893,0.008407717,0.02989256,0.02534068],"study_design_scores_gemma":[0.0002445936,0.0001941205,0.7644823,0.0001995871,0.0000960403,0.0004081176,0.0009275944,0.001403794,0.008261014,0.005251153,0.2178728,0.0006588933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695964,0.002231036,0.000038134,0.007332037,0.000193802,0.0002007444,0.0002197545,0.0001262699,0.0200618],"genre_scores_gemma":[0.984719,0.007566325,0.0005012802,0.003684251,0.001354257,0.00002405424,0.00003284313,0.000006964112,0.002111024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1879802,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245437695766919,"score_gpt":0.2849348915425042,"score_spread":0.2603911219658123,"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."}}