{"id":"W3048529119","doi":"10.11606/d.11.2020.tde-12082020-140023","title":"Redes sociais no contexto da conservação de mamíferos terrestres: conectando a dimensão humana ao universo digital","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Geography; Humanities; Art","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":[0.002643409,0.0003242707,0.0003394553,0.003408144,0.007371922,0.01032922,0.001383162,0.00150802,0.01197711],"category_scores_gemma":[0.00614377,0.0003363873,0.0003154931,0.004443348,0.01114743,0.01053626,0.007405664,0.001395851,0.0008350883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006138845,"about_ca_system_score_gemma":0.005318783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02935369,"about_ca_topic_score_gemma":0.06793052,"domain_scores_codex":[0.9979723,0.001021176,0.00007781664,0.000319718,0.000374543,0.0002344697],"domain_scores_gemma":[0.9960073,0.001400007,0.0008348194,0.0004224115,0.0005768951,0.0007585721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001039924,0.00009559988,0.07298131,0.0006515651,0.00004451917,0.001241954,0.5275059,0.0005737427,0.002320881,0.2513269,0.006873553,0.13628],"study_design_scores_gemma":[0.000009402333,0.00009456708,0.06894603,0.0006821673,0.00003578063,0.0008522807,0.5637142,0.0008340706,0.0006324522,0.0339421,0.3301877,0.00006919981],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988143,0.007730522,0.01276415,0.02104177,0.0003539493,0.0001407471,0.0006039865,0.0001563805,0.2583941],"genre_scores_gemma":[0.9755461,0.003253192,0.004780111,0.0004304553,0.00005614048,0.00008704417,0.0001430571,0.00003268729,0.01567111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935369,"threshold_uncertainty_score":0.05836564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004577311063393,"score_gpt":0.3662173075050678,"score_spread":0.2861715343944338,"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."}}