{"id":"W6980435157","doi":"","title":"Can Citizen Science learn something from Pokemon-Go?","year":2016,"lang":"en","type":"other","venue":"Lincoln University Research Archive (Lincoln University)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Population; Public engagement; Natural (archaeology); Space (punctuation); Quarter (Canadian coin); History of science; Field (mathematics); Smartphone app; Science communication","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":[0.02066666,0.001004781,0.000948826,0.002105929,0.007075611,0.02112856,0.003080054,0.01716325,0.06647854],"category_scores_gemma":[0.08104905,0.0007320268,0.001517602,0.002304538,0.01518017,0.06293264,0.0145867,0.01600011,0.03520748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003134918,"about_ca_system_score_gemma":0.00718635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004717769,"about_ca_topic_score_gemma":0.008672291,"domain_scores_codex":[0.9839318,0.009323379,0.0004685765,0.001433312,0.003116789,0.001726186],"domain_scores_gemma":[0.9545249,0.0259308,0.001428258,0.005779947,0.005380846,0.006955327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002524213,0.0003163469,0.003090819,0.0009981387,0.0000583305,0.0004277987,0.01131293,0.0002141613,0.0006519108,0.1721042,0.6155668,0.1950061],"study_design_scores_gemma":[0.0000366344,0.00008180647,0.0006398742,0.00107634,0.00001390335,0.000136057,0.00918376,0.0001771381,0.0003507338,0.1138519,0.8743955,0.00005628877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00457687,0.005222243,0.01301765,0.8390626,0.008586896,0.0001851723,0.0009162757,0.001354588,0.1270777],"genre_scores_gemma":[0.1524438,0.02401033,0.04275164,0.6173826,0.008099451,0.001592419,0.002963918,0.002796753,0.1479591],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06647854,"threshold_uncertainty_score":0.2223929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05113591481710081,"score_gpt":0.2710167305413009,"score_spread":0.2198808157242001,"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."}}