{"id":"W7045978653","doi":"","title":"Case Study: Biodiversity Galiano","year":2021,"lang":"en","type":"report","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Citizen science; Production (economics); TRACE (psycholinguistics); Measurement of biodiversity","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":[0.004648665,0.0005956866,0.000423688,0.003268939,0.03434055,0.004389906,0.003216838,0.0041239,0.00558407],"category_scores_gemma":[0.01206514,0.0003819233,0.0002842048,0.006755767,0.01363007,0.003061387,0.00819419,0.00343126,0.0005056855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02100778,"about_ca_system_score_gemma":0.01962076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6922073,"about_ca_topic_score_gemma":0.8431578,"domain_scores_codex":[0.9933493,0.002746424,0.0001369817,0.0006151728,0.001392218,0.001759946],"domain_scores_gemma":[0.9910542,0.004384087,0.0005163286,0.0006052902,0.001483282,0.001956807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008223081,0.0002759621,0.04089437,0.0004909082,0.00001614744,0.03003597,0.8373259,0.0008271835,0.001458428,0.03489866,0.0227064,0.03098775],"study_design_scores_gemma":[0.000005899607,0.00003075025,0.01093014,0.0002191781,0.000005777249,0.001758697,0.9004329,0.0002872983,0.0003724155,0.001118531,0.08481443,0.00002396532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714773,0.0007302219,0.002438615,0.01370216,0.0001042731,0.0004870103,0.0006334332,0.0000967735,0.1103301],"genre_scores_gemma":[0.9741473,0.0007161518,0.003134733,0.002758195,0.0000265281,0.0002401582,0.0002977262,0.00005394732,0.01862531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077927,"threshold_uncertainty_score":0.6192106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0746715634967426,"score_gpt":0.3334269670819227,"score_spread":0.2587554035851801,"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."}}