{"id":"W3134042201","doi":"10.5334/cstp.284","title":"Tracking Science: An Alternative for Those Excluded by Citizen Science","year":2021,"lang":"en","type":"article","venue":"Citizen Science Theory and Practice","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Rolex","keywords":"Citizen science; Tracking (education); Sociology; Physics; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08292704,0.001643212,0.003061549,0.005620388,0.02619741,0.03014016,0.007402313,0.03547462,0.006892066],"category_scores_gemma":[0.08094742,0.001020838,0.003125224,0.006290683,0.1426144,0.07520001,0.03693379,0.03770572,0.002311546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01237885,"about_ca_system_score_gemma":0.02288063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007834066,"about_ca_topic_score_gemma":0.007931144,"domain_scores_codex":[0.8635287,0.08673169,0.008413229,0.0175506,0.0185025,0.00527327],"domain_scores_gemma":[0.9141951,0.04380726,0.006082297,0.01731887,0.0138133,0.004783075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001408935,0.0000107115,0.0001529327,0.00007852099,0.000004378948,0.00005652674,0.01242136,0.00003119367,0.00008820106,0.9822253,0.001957387,0.002959498],"study_design_scores_gemma":[0.00002377327,0.0000352015,0.000154969,0.0007007788,0.00001554057,0.0001607799,0.01285249,0.0002992136,0.000166527,0.8196281,0.1659164,0.0000462385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02025783,0.01097771,0.2216808,0.441562,0.008114561,0.0003917867,0.0001758874,0.0003946739,0.2964447],"genre_scores_gemma":[0.7014738,0.005716876,0.09737443,0.1407545,0.005128548,0.0029557,0.0003277631,0.000861584,0.04540685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08292704,"threshold_uncertainty_score":0.4385654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06099250554811108,"score_gpt":0.3743067880633648,"score_spread":0.3133142825152537,"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."}}