{"id":"W6949948021","doi":"10.5281/zenodo.5030046","title":"Bougisia ornata Laval","year":2004,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Seta; Paratype; Type locality; Mediterranean sea; Mediterranean climate","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":[0.0003991813,0.0006080921,0.000342254,0.001381332,0.001171633,0.001445926,0.0004463024,0.0004862857,0.07874589],"category_scores_gemma":[0.0004157214,0.0001850993,0.0002324859,0.0009143483,0.0004327142,0.000620936,0.001564603,0.0007550594,0.02744992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146249,"about_ca_system_score_gemma":0.0009535057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03740589,"about_ca_topic_score_gemma":0.05840265,"domain_scores_codex":[0.9997289,0.00003579826,0.00001396248,0.00007479614,0.0000941673,0.0000524563],"domain_scores_gemma":[0.9998266,0.00001409096,0.00003479132,0.00002501679,0.0000451075,0.00005443339],"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":[0.0002509229,0.00009884281,0.01304276,0.0004670979,0.00003114106,0.0003489356,0.0006178931,0.0002200352,0.006687708,0.009898531,0.3050152,0.663321],"study_design_scores_gemma":[0.00000724335,0.00001735318,0.01695891,0.00006911196,0.000003053107,0.0002908507,0.00006220565,0.00004374474,0.0001405832,0.0001489256,0.982253,0.000005116192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04944775,0.07430091,0.002499786,0.005258407,0.004406164,0.0002003587,0.01382672,0.002057101,0.8480027],"genre_scores_gemma":[0.1869007,0.02157354,0.01137199,0.001151953,0.001647394,0.0001718042,0.007977214,0.0009246113,0.7682807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07874589,"threshold_uncertainty_score":0.2634313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817420757803904,"score_gpt":0.2254790006394191,"score_spread":0.1973047930613801,"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."}}