{"id":"W4200385528","doi":"10.32920/ifmj.v1i2.1518","title":"Crowdsourcing Documentary Making","year":2021,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dissent; Miami; Political dissent; Crowdsourcing; Politics; Media studies; Social media; Commons; Political science; Making-of; Sociology; Law; Advertising; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01172372,0.0008945031,0.0006138851,0.005056842,0.01104079,0.018059,0.003457215,0.003907955,0.08003573],"category_scores_gemma":[0.03814868,0.0005375937,0.0009603369,0.005603898,0.007269984,0.009928658,0.01364386,0.003069329,0.02278924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004748029,"about_ca_system_score_gemma":0.005462234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009275463,"about_ca_topic_score_gemma":0.0162086,"domain_scores_codex":[0.9848717,0.004929902,0.000788238,0.002186599,0.006364967,0.0008586479],"domain_scores_gemma":[0.9668155,0.01328017,0.001122362,0.0114805,0.005557335,0.001744139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001094751,0.00008136568,0.0005661249,0.000584673,0.00003930304,0.0006519582,0.01484555,0.002260407,0.002472175,0.290042,0.4126796,0.2756674],"study_design_scores_gemma":[0.00002072288,0.0000139128,0.0001991969,0.0001925588,0.0000059666,0.00008325928,0.002891805,0.001117776,0.0008893885,0.03323139,0.9613237,0.00003030269],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01027001,0.003318362,0.1089958,0.02708312,0.009032992,0.0009976013,0.003293752,0.003766876,0.8332415],"genre_scores_gemma":[0.2287143,0.004150577,0.09863221,0.005560457,0.005343612,0.001786502,0.005439694,0.00444649,0.6459262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08003573,"threshold_uncertainty_score":0.2677462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595618061153086,"score_gpt":0.3254639384506332,"score_spread":0.3095077578391023,"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."}}