{"id":"W6958074494","doi":"10.60692/pj0pj-4wf20","title":"Harnessing online digital data in biodiversity monitoring","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Complement (music); Digital data; Citizen science; Global 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":[0.01441381,0.0006178952,0.0005867839,0.01077232,0.001126952,0.00827569,0.002124346,0.00134091,0.007254352],"category_scores_gemma":[0.04527639,0.0004031524,0.0004604009,0.01360315,0.001115278,0.01516502,0.006925747,0.001830771,0.001953742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235364,"about_ca_system_score_gemma":0.002682857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008406166,"about_ca_topic_score_gemma":0.01690165,"domain_scores_codex":[0.9928344,0.003570044,0.00045572,0.0007468567,0.002054676,0.0003383679],"domain_scores_gemma":[0.9405401,0.03121398,0.00553167,0.01089999,0.009560094,0.002254059],"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":[0.0001824785,0.0003967193,0.08208504,0.001026557,0.0001859679,0.0002103688,0.001983484,0.003750165,0.004236858,0.04535697,0.04178664,0.8187987],"study_design_scores_gemma":[0.00009914312,0.000339867,0.08725434,0.003501694,0.0003486102,0.0004767396,0.00882561,0.04200503,0.01497506,0.2434201,0.5983953,0.0003584798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.181867,0.008627472,0.3880566,0.07147405,0.003031239,0.002609594,0.04471183,0.005241487,0.2943808],"genre_scores_gemma":[0.5510241,0.006645351,0.4046525,0.004307054,0.001925321,0.001086153,0.01717919,0.0005260383,0.01265432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01441381,"threshold_uncertainty_score":0.0762285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321089466093031,"score_gpt":0.3016647631613061,"score_spread":0.1695558165520031,"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."}}