{"id":"W3176427436","doi":"","title":"Analysis of citizen science scientific publications: A scientometric study","year":2021,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Engineering ethics; Data science; Political science; Computer science; Engineering; Biology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01371,0.0003409347,0.0008517433,0.07390396,0.00152426,0.004936425,0.0007680173,0.0007118481,0.0031131],"category_scores_gemma":[0.0774574,0.0001686106,0.0009921541,0.1245497,0.001145292,0.00459015,0.002146075,0.0004290131,0.0009539275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173176,"about_ca_system_score_gemma":0.002592623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247963,"about_ca_topic_score_gemma":0.002120987,"domain_scores_codex":[0.9798959,0.004594405,0.003091977,0.001051722,0.01035048,0.001015333],"domain_scores_gemma":[0.8901342,0.06752261,0.02020499,0.004345521,0.01503577,0.002756923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001142415,0.0002391555,0.9357584,0.0004895654,0.000160312,0.0002473458,0.002792455,0.0007133175,0.0003379922,0.001650689,0.001993242,0.0555034],"study_design_scores_gemma":[0.00001517055,0.0002186336,0.9755428,0.0001449667,0.0001181942,0.000512086,0.008683071,0.003988322,0.0004741176,0.001335613,0.008934309,0.00003269466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804288,0.0009384773,0.001614106,0.0005430338,0.00003650314,0.0002299524,0.00488742,0.00006286015,0.01125897],"genre_scores_gemma":[0.9916163,0.0008062217,0.001376169,0.00004527872,0.0001633811,0.0002407253,0.004884489,0.00001997011,0.0008474073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.926096,"threshold_uncertainty_score":0.07250625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636833460255563,"score_gpt":0.2618757941190495,"score_spread":0.2255074595164939,"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."}}