{"id":"W6999052978","doi":"","title":"Canada VMap1, Library 16: Population Text Features","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Population; Geographic information system; Base (topology); Natural resource; Topographic map (neuroanatomy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005392051,0.001240277,0.0008876387,0.007765139,0.002726069,0.004165949,0.002312454,0.0005351413,0.4430059],"category_scores_gemma":[0.004756159,0.0006757418,0.000518447,0.02786218,0.0003988097,0.001533644,0.001309033,0.0007175044,0.2497136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01523755,"about_ca_system_score_gemma":0.04575901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9373914,"about_ca_topic_score_gemma":0.9312658,"domain_scores_codex":[0.9990354,0.00002977298,0.00005397085,0.0001214181,0.0005801301,0.00017942],"domain_scores_gemma":[0.9955876,0.0001876989,0.0001203903,0.0002079638,0.00357432,0.0003221587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001431796,0.000005452406,0.0003596168,0.0001018137,0.000001841146,0.00001250229,0.00006124078,0.00008061519,0.00003796371,0.000664444,0.9846147,0.01404542],"study_design_scores_gemma":[0.000008504134,0.000002823357,0.004015659,0.00004697103,0.000002948633,0.00001786209,0.0001078201,0.0001096558,0.0001406621,0.0002702971,0.9952621,0.00001459349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005476687,0.0001482849,0.0004042941,0.0002246871,0.00009287802,0.0001273286,0.8781456,0.001769534,0.1185397],"genre_scores_gemma":[0.006341239,0.0008258023,0.002618796,0.0002129874,0.00008423423,0.000381055,0.6594079,0.002708006,0.3274199],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4430059,"threshold_uncertainty_score":0.7944844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255667484824741,"score_gpt":0.2076573565356449,"score_spread":0.1951006816873975,"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."}}