{"id":"W6893744677","doi":"10.5281/zenodo.5149429","title":"Cavinula cocconeiformis Mann & Stickle","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raphe; Terminal (telecommunication); Navicula; Precambrian","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":[0.000134419,0.0005234775,0.0002871669,0.001192517,0.001289888,0.0004217801,0.0007383522,0.0007117789,0.009756192],"category_scores_gemma":[0.000496176,0.0001605636,0.0001254073,0.000942536,0.0007826079,0.0007260647,0.0008584351,0.0003176135,0.003028362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192381,"about_ca_system_score_gemma":0.0003928519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03302779,"about_ca_topic_score_gemma":0.06512046,"domain_scores_codex":[0.9998585,0.00001453728,0.000005486716,0.00006359549,0.00003373465,0.00002411695],"domain_scores_gemma":[0.9998044,0.00002992022,0.00006315749,0.00002423794,0.00005453901,0.00002367665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005553495,0.0001425979,0.06635533,0.0006482792,0.00005893449,0.005045891,0.00206478,0.001915064,0.04563102,0.007019744,0.05615086,0.8144122],"study_design_scores_gemma":[0.0001705251,0.0003082446,0.4523573,0.0007843639,0.00006537691,0.008954048,0.001639361,0.002099237,0.006835833,0.002762575,0.5239594,0.00006369257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5058188,0.009616558,0.005632299,0.0009155041,0.0004393386,0.0002804411,0.001912517,0.001648006,0.4737366],"genre_scores_gemma":[0.9757239,0.0007984945,0.00175181,0.0004701872,0.00006864648,0.00005103266,0.0006245031,0.00005439594,0.02045696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03302779,"threshold_uncertainty_score":0.06567109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408257494124875,"score_gpt":0.2066501144146892,"score_spread":0.1825675394734404,"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."}}