{"id":"W6931167386","doi":"10.5281/zenodo.4762146","title":"Pteronarcys princeps Banks 1907","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Butte; Ridge; Shire; Sympatric speciation; Kondratiev wave; Phanerozoic","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":[0.00008751093,0.0004366269,0.0002125673,0.0009798099,0.001066899,0.0003453493,0.0003361183,0.0004045218,0.0182346],"category_scores_gemma":[0.0003754658,0.0003143274,0.0001262186,0.0007835344,0.0006507455,0.001286006,0.0008693952,0.000379439,0.006362636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234359,"about_ca_system_score_gemma":0.0003223901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007304199,"about_ca_topic_score_gemma":0.01265805,"domain_scores_codex":[0.999892,0.0000118683,0.0000135136,0.00003104778,0.00004087276,0.00001077973],"domain_scores_gemma":[0.9998517,0.00002483734,0.0000510093,0.000012441,0.00004363385,0.00001639018],"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":[0.000477703,0.0001359796,0.07429221,0.002315393,0.0001072176,0.008816647,0.004372079,0.001367494,0.02800623,0.00613902,0.1068142,0.7671559],"study_design_scores_gemma":[0.0001117426,0.0005451376,0.4507945,0.001238312,0.0001297166,0.02528087,0.003885452,0.001016708,0.004625815,0.002459734,0.5098642,0.00004794089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4163898,0.009255542,0.004189418,0.001236077,0.0005791039,0.00039946,0.003992123,0.0005518775,0.5634066],"genre_scores_gemma":[0.9584823,0.00581368,0.002979219,0.0007523496,0.0001688637,0.0001310612,0.001815941,0.00004103646,0.02981558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0182346,"threshold_uncertainty_score":0.06100082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237758820988663,"score_gpt":0.2584598107905428,"score_spread":0.2260822225806561,"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."}}