{"id":"W3165717017","doi":"10.12681/psy_hps.24326","title":"Downloading images from GBIF: Licenses, citation and link rot","year":2020,"lang":"el","type":"article","venue":"Biodiversity Informatics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005208054,0.001444805,0.001181103,0.00566484,0.00180176,0.004141053,0.002831396,0.001872147,0.1747407],"category_scores_gemma":[0.03005627,0.001694527,0.001481375,0.004556777,0.001440942,0.009578004,0.008553315,0.002826493,0.09272812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335937,"about_ca_system_score_gemma":0.001711958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004409756,"about_ca_topic_score_gemma":0.005844204,"domain_scores_codex":[0.9983747,0.0002376256,0.0002070282,0.0003107172,0.0005628344,0.0003070539],"domain_scores_gemma":[0.9775764,0.005958524,0.001161441,0.01096247,0.002767554,0.001573684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005638393,0.0001570566,0.004821817,0.0008668425,0.00007162282,0.0005989818,0.0011782,0.0009469124,0.004860054,0.007583456,0.8043915,0.1739598],"study_design_scores_gemma":[0.0002292745,0.00007768264,0.01350572,0.0006702599,0.00006072898,0.000820193,0.0006889417,0.01310239,0.02178647,0.02666292,0.9220603,0.0003349824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01236536,0.0003376381,0.142767,0.003456961,0.001126074,0.0009335881,0.0784754,0.6939206,0.0666175],"genre_scores_gemma":[0.1107106,0.00112951,0.3361705,0.0021883,0.0009210851,0.002361639,0.123379,0.3270245,0.09611476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.995859,"threshold_uncertainty_score":0.5845659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292736844099697,"score_gpt":0.2360846902158487,"score_spread":0.206811005805879,"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."}}