{"id":"W7147186668","doi":"10.5281/zenodo.19356760","title":"Catharus fuscescens","year":2018,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Geolocation; Habitat; Amazon basin; Cape; Structural basin","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001274005,0.0006225093,0.0003393408,0.00155319,0.000978626,0.0003247438,0.000307344,0.000300984,0.008787951],"category_scores_gemma":[0.0003800294,0.0001189351,0.0002027624,0.0007503257,0.0005417526,0.000682526,0.0007032914,0.0003006791,0.001911212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825336,"about_ca_system_score_gemma":0.000247774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839037,"about_ca_topic_score_gemma":0.03484116,"domain_scores_codex":[0.9998362,0.00001052741,0.00001439257,0.00007385473,0.00004001398,0.00002493906],"domain_scores_gemma":[0.9997357,0.00003548697,0.000126571,0.00001377219,0.00004855965,0.00004004966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001030786,0.0002763233,0.1757711,0.002138695,0.0001464404,0.008476716,0.002408983,0.001238525,0.1828794,0.003791626,0.01845594,0.6033855],"study_design_scores_gemma":[0.00006345066,0.0006354764,0.8966208,0.0005005787,0.0001318982,0.00940724,0.001318147,0.0007845911,0.006921811,0.001065149,0.08249415,0.00005674001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014422,0.01229086,0.002986575,0.0007493125,0.0003501282,0.0001328675,0.005988549,0.0008660552,0.07519347],"genre_scores_gemma":[0.9907933,0.001312443,0.001086146,0.0002968709,0.00005230602,0.00003882237,0.001819153,0.00002293145,0.004577974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01839037,"threshold_uncertainty_score":0.03656662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728107083945159,"score_gpt":0.2639085606039341,"score_spread":0.2066274897644825,"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."}}